Stock-Price-Prediction.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "o0gTgUrHtoKz"
   },
   "source": [
    "\n",
    "# Stock Market Prediction And Forecasting using stacked LSTM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5OX0G0NQubs_"
   },
   "source": [
    "## Process"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vWAwq2tTuepl"
   },
   "source": [
    "1. We will collect the stock Data - AAPL\n",
    "2. Preprocess the data - Train and Test\n",
    "3. Create an Stacked LSTM and Model\n",
    "4. Predict the test data and plot the output\n",
    "5. Predict the future 30 days and plot the output\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hK7AJOnQvAEg"
   },
   "source": [
    "# API KEY for this project : "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "m0Q-cvlJvKkb"
   },
   "source": [
    "-  Find your api key from here : https://api.tiingo.com/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5OBi2OyLvk-5"
   },
   "source": [
    "# Data Collection and libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "id": "EsXzmOnLtPcd"
   },
   "outputs": [],
   "source": [
    "import pandas_datareader as pdr\n",
    "import os\n",
    "# TIINGO_API_KEY = 'Find your from given website'\n",
    "# API KEY, you can find yours by upper link"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "thWolgHbvvbU"
   },
   "source": [
    "Documentation of **pandas_datareader** : https://pandas-datareader.readthedocs.io/en/latest/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "id": "7f5JmiBHtnxY"
   },
   "outputs": [],
   "source": [
    "# df = pdr.get_data_tiingo('AAPL', api_key='paste your API key here')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "id": "wDnxO-a-t0Lx"
   },
   "outputs": [],
   "source": [
    "# df.to_csv('AAPL.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run above code first before running further cells."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's Start"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('AAPL.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>symbol</th>\n",
       "      <th>date</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
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       "      <th>adjLow</th>\n",
       "      <th>adjOpen</th>\n",
       "      <th>adjVolume</th>\n",
       "      <th>divCash</th>\n",
       "      <th>splitFactor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2016-10-03 00:00:00+00:00</td>\n",
       "      <td>112.52</td>\n",
       "      <td>113.05</td>\n",
       "      <td>112.28</td>\n",
       "      <td>112.71</td>\n",
       "      <td>21701760</td>\n",
       "      <td>26.376689</td>\n",
       "      <td>26.500930</td>\n",
       "      <td>26.320428</td>\n",
       "      <td>26.421228</td>\n",
       "      <td>86807040</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2016-10-04 00:00:00+00:00</td>\n",
       "      <td>113.00</td>\n",
       "      <td>114.31</td>\n",
       "      <td>112.63</td>\n",
       "      <td>113.06</td>\n",
       "      <td>29736835</td>\n",
       "      <td>26.489209</td>\n",
       "      <td>26.796297</td>\n",
       "      <td>26.402475</td>\n",
       "      <td>26.503274</td>\n",
       "      <td>118947340</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2016-10-05 00:00:00+00:00</td>\n",
       "      <td>113.05</td>\n",
       "      <td>113.66</td>\n",
       "      <td>112.69</td>\n",
       "      <td>113.40</td>\n",
       "      <td>21453089</td>\n",
       "      <td>26.500930</td>\n",
       "      <td>26.643925</td>\n",
       "      <td>26.416540</td>\n",
       "      <td>26.582976</td>\n",
       "      <td>85812356</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2016-10-06 00:00:00+00:00</td>\n",
       "      <td>113.89</td>\n",
       "      <td>114.34</td>\n",
       "      <td>113.13</td>\n",
       "      <td>113.70</td>\n",
       "      <td>28779313</td>\n",
       "      <td>26.697841</td>\n",
       "      <td>26.803329</td>\n",
       "      <td>26.519684</td>\n",
       "      <td>26.653302</td>\n",
       "      <td>115117252</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2016-10-07 00:00:00+00:00</td>\n",
       "      <td>114.06</td>\n",
       "      <td>114.56</td>\n",
       "      <td>113.51</td>\n",
       "      <td>114.31</td>\n",
       "      <td>24358443</td>\n",
       "      <td>26.737692</td>\n",
       "      <td>26.854901</td>\n",
       "      <td>26.608762</td>\n",
       "      <td>26.796297</td>\n",
       "      <td>97433772</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2016-10-10 00:00:00+00:00</td>\n",
       "      <td>116.05</td>\n",
       "      <td>116.75</td>\n",
       "      <td>114.72</td>\n",
       "      <td>115.02</td>\n",
       "      <td>36235956</td>\n",
       "      <td>27.204184</td>\n",
       "      <td>27.368276</td>\n",
       "      <td>26.892408</td>\n",
       "      <td>26.962733</td>\n",
       "      <td>144943824</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2016-10-11 00:00:00+00:00</td>\n",
       "      <td>116.30</td>\n",
       "      <td>118.69</td>\n",
       "      <td>116.20</td>\n",
       "      <td>117.70</td>\n",
       "      <td>64041043</td>\n",
       "      <td>27.262788</td>\n",
       "      <td>27.823046</td>\n",
       "      <td>27.239346</td>\n",
       "      <td>27.590973</td>\n",
       "      <td>256164172</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2016-10-12 00:00:00+00:00</td>\n",
       "      <td>117.34</td>\n",
       "      <td>117.98</td>\n",
       "      <td>116.75</td>\n",
       "      <td>117.35</td>\n",
       "      <td>37586787</td>\n",
       "      <td>27.506582</td>\n",
       "      <td>27.656610</td>\n",
       "      <td>27.368276</td>\n",
       "      <td>27.508927</td>\n",
       "      <td>150347148</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2016-10-13 00:00:00+00:00</td>\n",
       "      <td>116.98</td>\n",
       "      <td>117.44</td>\n",
       "      <td>115.72</td>\n",
       "      <td>116.79</td>\n",
       "      <td>35192406</td>\n",
       "      <td>27.422192</td>\n",
       "      <td>27.530024</td>\n",
       "      <td>27.126826</td>\n",
       "      <td>27.377653</td>\n",
       "      <td>140769624</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2016-10-14 00:00:00+00:00</td>\n",
       "      <td>117.63</td>\n",
       "      <td>118.17</td>\n",
       "      <td>117.13</td>\n",
       "      <td>117.88</td>\n",
       "      <td>35652191</td>\n",
       "      <td>27.574564</td>\n",
       "      <td>27.701149</td>\n",
       "      <td>27.457355</td>\n",
       "      <td>27.633168</td>\n",
       "      <td>142608764</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "  symbol                       date   close    high     low    open    volume  \\\n",
       "0   AAPL  2016-10-03 00:00:00+00:00  112.52  113.05  112.28  112.71  21701760   \n",
       "1   AAPL  2016-10-04 00:00:00+00:00  113.00  114.31  112.63  113.06  29736835   \n",
       "2   AAPL  2016-10-05 00:00:00+00:00  113.05  113.66  112.69  113.40  21453089   \n",
       "3   AAPL  2016-10-06 00:00:00+00:00  113.89  114.34  113.13  113.70  28779313   \n",
       "4   AAPL  2016-10-07 00:00:00+00:00  114.06  114.56  113.51  114.31  24358443   \n",
       "5   AAPL  2016-10-10 00:00:00+00:00  116.05  116.75  114.72  115.02  36235956   \n",
       "6   AAPL  2016-10-11 00:00:00+00:00  116.30  118.69  116.20  117.70  64041043   \n",
       "7   AAPL  2016-10-12 00:00:00+00:00  117.34  117.98  116.75  117.35  37586787   \n",
       "8   AAPL  2016-10-13 00:00:00+00:00  116.98  117.44  115.72  116.79  35192406   \n",
       "9   AAPL  2016-10-14 00:00:00+00:00  117.63  118.17  117.13  117.88  35652191   \n",
       "\n",
       "    adjClose    adjHigh     adjLow    adjOpen  adjVolume  divCash  splitFactor  \n",
       "0  26.376689  26.500930  26.320428  26.421228   86807040      0.0          1.0  \n",
       "1  26.489209  26.796297  26.402475  26.503274  118947340      0.0          1.0  \n",
       "2  26.500930  26.643925  26.416540  26.582976   85812356      0.0          1.0  \n",
       "3  26.697841  26.803329  26.519684  26.653302  115117252      0.0          1.0  \n",
       "4  26.737692  26.854901  26.608762  26.796297   97433772      0.0          1.0  \n",
       "5  27.204184  27.368276  26.892408  26.962733  144943824      0.0          1.0  \n",
       "6  27.262788  27.823046  27.239346  27.590973  256164172      0.0          1.0  \n",
       "7  27.506582  27.656610  27.368276  27.508927  150347148      0.0          1.0  \n",
       "8  27.422192  27.530024  27.126826  27.377653  140769624      0.0          1.0  \n",
       "9  27.574564  27.701149  27.457355  27.633168  142608764      0.0          1.0  "
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Top 10 rows of df\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>close</th>\n",
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       "      <th>adjLow</th>\n",
       "      <th>adjOpen</th>\n",
       "      <th>adjVolume</th>\n",
       "      <th>divCash</th>\n",
       "      <th>splitFactor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1252</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2021-09-23 00:00:00+00:00</td>\n",
       "      <td>146.83</td>\n",
       "      <td>147.0800</td>\n",
       "      <td>145.64</td>\n",
       "      <td>146.65</td>\n",
       "      <td>64838170</td>\n",
       "      <td>146.83</td>\n",
       "      <td>147.0800</td>\n",
       "      <td>145.64</td>\n",
       "      <td>146.65</td>\n",
       "      <td>64838170</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1253</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2021-09-24 00:00:00+00:00</td>\n",
       "      <td>146.92</td>\n",
       "      <td>147.4701</td>\n",
       "      <td>145.56</td>\n",
       "      <td>145.66</td>\n",
       "      <td>53477869</td>\n",
       "      <td>146.92</td>\n",
       "      <td>147.4701</td>\n",
       "      <td>145.56</td>\n",
       "      <td>145.66</td>\n",
       "      <td>53477869</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1254</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2021-09-27 00:00:00+00:00</td>\n",
       "      <td>145.37</td>\n",
       "      <td>145.9600</td>\n",
       "      <td>143.82</td>\n",
       "      <td>145.47</td>\n",
       "      <td>74150729</td>\n",
       "      <td>145.37</td>\n",
       "      <td>145.9600</td>\n",
       "      <td>143.82</td>\n",
       "      <td>145.47</td>\n",
       "      <td>74150729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1255</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2021-09-28 00:00:00+00:00</td>\n",
       "      <td>141.91</td>\n",
       "      <td>144.7500</td>\n",
       "      <td>141.69</td>\n",
       "      <td>143.25</td>\n",
       "      <td>108972340</td>\n",
       "      <td>141.91</td>\n",
       "      <td>144.7500</td>\n",
       "      <td>141.69</td>\n",
       "      <td>143.25</td>\n",
       "      <td>108972340</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1256</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>2021-09-29 00:00:00+00:00</td>\n",
       "      <td>142.83</td>\n",
       "      <td>144.4500</td>\n",
       "      <td>142.03</td>\n",
       "      <td>142.47</td>\n",
       "      <td>74602044</td>\n",
       "      <td>142.83</td>\n",
       "      <td>144.4500</td>\n",
       "      <td>142.03</td>\n",
       "      <td>142.47</td>\n",
       "      <td>74602044</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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      ],
      "text/plain": [
       "     symbol                       date   close      high     low    open  \\\n",
       "1252   AAPL  2021-09-23 00:00:00+00:00  146.83  147.0800  145.64  146.65   \n",
       "1253   AAPL  2021-09-24 00:00:00+00:00  146.92  147.4701  145.56  145.66   \n",
       "1254   AAPL  2021-09-27 00:00:00+00:00  145.37  145.9600  143.82  145.47   \n",
       "1255   AAPL  2021-09-28 00:00:00+00:00  141.91  144.7500  141.69  143.25   \n",
       "1256   AAPL  2021-09-29 00:00:00+00:00  142.83  144.4500  142.03  142.47   \n",
       "\n",
       "         volume  adjClose   adjHigh  adjLow  adjOpen  adjVolume  divCash  \\\n",
       "1252   64838170    146.83  147.0800  145.64   146.65   64838170      0.0   \n",
       "1253   53477869    146.92  147.4701  145.56   145.66   53477869      0.0   \n",
       "1254   74150729    145.37  145.9600  143.82   145.47   74150729      0.0   \n",
       "1255  108972340    141.91  144.7500  141.69   143.25  108972340      0.0   \n",
       "1256   74602044    142.83  144.4500  142.03   142.47   74602044      0.0   \n",
       "\n",
       "      splitFactor  \n",
       "1252          1.0  \n",
       "1253          1.0  \n",
       "1254          1.0  \n",
       "1255          1.0  \n",
       "1256          1.0  "
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# last 10 rows\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = df.reset_index()['close']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1257,)"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    112.52\n",
       "1    113.00\n",
       "2    113.05\n",
       "3    113.89\n",
       "4    114.06\n",
       "Name: close, dtype: float64"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualizing the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x20ba588d700>]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.plot(df1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Google stock is bullish according to above chart"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scaling the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- LSTM are sensitive to the scale of the data, so we apply MinMaxScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       112.52\n",
       "1       113.00\n",
       "2       113.05\n",
       "3       113.89\n",
       "4       114.06\n",
       "         ...  \n",
       "1252    146.83\n",
       "1253    146.92\n",
       "1254    145.37\n",
       "1255    141.91\n",
       "1256    142.83\n",
       "Name: close, Length: 1257, dtype: float64"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "scaler = MinMaxScaler(feature_range=(0,1))\n",
    "df1 = scaler.fit_transform(np.array(df1).reshape(-1,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1257, 1)"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.01700884],\n",
       "       [0.0182077 ],\n",
       "       [0.01833258],\n",
       "       ...,\n",
       "       [0.0990559 ],\n",
       "       [0.09041411],\n",
       "       [0.09271192]])"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train-Test-Split"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Here our dataset is in **TimeSeries**, so we will split data into **train-test-split** according to Date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Splitting dataset into train and test split\n",
    "training_size = int(len(df1)*0.65)\n",
    "test_size = len(df1)-training_size\n",
    "train_data, test_data = df1[0:training_size,:], df1[training_size:len(df1),:1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert an array of values into dataset matrix\n",
    "def create_dataset(dataset, time_step=1):\n",
    "    dataX, dataY = [],[]\n",
    "    for i in range(len(dataset)-time_step-1):\n",
    "        a = dataset[i:(i+time_step), 0] ## i=0,1,2,3..\n",
    "        dataX.append(a)\n",
    "        dataY.append(dataset[i+time_step, 0])\n",
    "    return np.array(dataX), np.array(dataY)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "#reshape into X=t, t+1, t+2, t+3 and Y=t+4\n",
    "time_step = 100\n",
    "X_train, y_train = create_dataset(train_data, time_step)\n",
    "X_test, y_test = create_dataset(test_data, time_step)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(716, 100)\n",
      "(716,)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(None, None)"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(X_train.shape), print(y_train.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(339, 100)\n",
      "(339,)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(None, None)"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(X_test.shape), print(y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating LSTM Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "#reshape input to be [samples, time_steps, features] which is required for LSTM\n",
    "X_train = X_train.reshape(X_train.shape[0], X_train.shape[1],1)\n",
    "X_test = X_test.reshape(X_test.shape[0], X_test.shape[1],1)\n",
    "# Coverting X_train & y_train into 3 dimensions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(716, 100, 1)\n",
      "(716,)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(None, None)"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(X_train.shape), print(y_train.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create the stacked LSTM Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense\n",
    "from tensorflow.keras.layers import LSTM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(LSTM(50, return_sequences=True, input_shape=(100,1)))\n",
    "model.add(LSTM(50, return_sequences=True))\n",
    "model.add(LSTM(50))\n",
    "model.add(Dense(1))\n",
    "model.compile(loss='mean_squared_error', optimizer='adam')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_2\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "lstm_6 (LSTM)                (None, 100, 50)           10400     \n",
      "_________________________________________________________________\n",
      "lstm_7 (LSTM)                (None, 100, 50)           20200     \n",
      "_________________________________________________________________\n",
      "lstm_8 (LSTM)                (None, 50)                20200     \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 1)                 51        \n",
      "=================================================================\n",
      "Total params: 50,851\n",
      "Trainable params: 50,851\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "12/12 [==============================] - 19s 537ms/step - loss: 0.0261 - val_loss: 0.0326\n",
      "Epoch 2/100\n",
      "12/12 [==============================] - 4s 293ms/step - loss: 0.0036 - val_loss: 0.0281\n",
      "Epoch 3/100\n",
      "12/12 [==============================] - 4s 333ms/step - loss: 0.0025 - val_loss: 0.0243\n",
      "Epoch 4/100\n",
      "12/12 [==============================] - 4s 324ms/step - loss: 0.0013 - val_loss: 0.0216\n",
      "Epoch 5/100\n",
      "12/12 [==============================] - 3s 295ms/step - loss: 7.4578e-04 - val_loss: 0.0263\n",
      "Epoch 6/100\n",
      "12/12 [==============================] - 4s 314ms/step - loss: 6.1545e-04 - val_loss: 0.0254\n",
      "Epoch 7/100\n",
      "12/12 [==============================] - 3s 286ms/step - loss: 5.8655e-04 - val_loss: 0.0238\n",
      "Epoch 8/100\n",
      "12/12 [==============================] - 4s 297ms/step - loss: 5.0711e-04 - val_loss: 0.0258\n",
      "Epoch 9/100\n",
      "12/12 [==============================] - 4s 319ms/step - loss: 4.9757e-04 - val_loss: 0.0250\n",
      "Epoch 10/100\n",
      "12/12 [==============================] - 5s 403ms/step - loss: 4.2532e-04 - val_loss: 0.0236\n",
      "Epoch 11/100\n",
      "12/12 [==============================] - 4s 333ms/step - loss: 4.0132e-04 - val_loss: 0.0226\n",
      "Epoch 12/100\n",
      "12/12 [==============================] - 4s 341ms/step - loss: 4.6053e-04 - val_loss: 0.0226\n",
      "Epoch 13/100\n",
      "12/12 [==============================] - 4s 303ms/step - loss: 3.9320e-04 - val_loss: 0.0200\n",
      "Epoch 14/100\n",
      "12/12 [==============================] - 4s 325ms/step - loss: 4.2100e-04 - val_loss: 0.0200\n",
      "Epoch 15/100\n",
      "12/12 [==============================] - 4s 345ms/step - loss: 4.0683e-04 - val_loss: 0.0209\n",
      "Epoch 16/100\n",
      "12/12 [==============================] - 4s 356ms/step - loss: 3.5357e-04 - val_loss: 0.0211\n",
      "Epoch 17/100\n",
      "12/12 [==============================] - 4s 351ms/step - loss: 3.8566e-04 - val_loss: 0.0205\n",
      "Epoch 18/100\n",
      "12/12 [==============================] - 4s 318ms/step - loss: 3.4251e-04 - val_loss: 0.0191\n",
      "Epoch 19/100\n",
      "12/12 [==============================] - 4s 317ms/step - loss: 3.3078e-04 - val_loss: 0.0187\n",
      "Epoch 20/100\n",
      "12/12 [==============================] - 4s 329ms/step - loss: 3.0231e-04 - val_loss: 0.0177\n",
      "Epoch 21/100\n",
      "12/12 [==============================] - 4s 308ms/step - loss: 3.1651e-04 - val_loss: 0.0212\n",
      "Epoch 22/100\n",
      "12/12 [==============================] - 4s 304ms/step - loss: 2.9878e-04 - val_loss: 0.0168\n",
      "Epoch 23/100\n",
      "12/12 [==============================] - 4s 309ms/step - loss: 3.0636e-04 - val_loss: 0.0200\n",
      "Epoch 24/100\n",
      "12/12 [==============================] - 4s 303ms/step - loss: 2.9615e-04 - val_loss: 0.0166\n",
      "Epoch 25/100\n",
      "12/12 [==============================] - 4s 315ms/step - loss: 2.9230e-04 - val_loss: 0.0207\n",
      "Epoch 26/100\n",
      "12/12 [==============================] - 4s 318ms/step - loss: 3.8980e-04 - val_loss: 0.0154\n",
      "Epoch 27/100\n",
      "12/12 [==============================] - 4s 303ms/step - loss: 3.0390e-04 - val_loss: 0.0162\n",
      "Epoch 28/100\n",
      "12/12 [==============================] - 4s 315ms/step - loss: 2.7669e-04 - val_loss: 0.0164\n",
      "Epoch 29/100\n",
      "12/12 [==============================] - 4s 305ms/step - loss: 2.6720e-04 - val_loss: 0.0158\n",
      "Epoch 30/100\n",
      "12/12 [==============================] - 4s 314ms/step - loss: 2.9232e-04 - val_loss: 0.0159\n",
      "Epoch 31/100\n",
      "12/12 [==============================] - 4s 308ms/step - loss: 2.4971e-04 - val_loss: 0.0170\n",
      "Epoch 32/100\n",
      "12/12 [==============================] - 4s 311ms/step - loss: 2.6666e-04 - val_loss: 0.0153\n",
      "Epoch 33/100\n",
      "12/12 [==============================] - 4s 320ms/step - loss: 2.4679e-04 - val_loss: 0.0153\n",
      "Epoch 34/100\n",
      "12/12 [==============================] - 4s 309ms/step - loss: 2.5997e-04 - val_loss: 0.0177\n",
      "Epoch 35/100\n",
      "12/12 [==============================] - 4s 311ms/step - loss: 3.2982e-04 - val_loss: 0.0137\n",
      "Epoch 36/100\n",
      "12/12 [==============================] - 4s 320ms/step - loss: 3.0556e-04 - val_loss: 0.0174\n",
      "Epoch 37/100\n",
      "12/12 [==============================] - 4s 301ms/step - loss: 2.7967e-04 - val_loss: 0.0142\n",
      "Epoch 38/100\n",
      "12/12 [==============================] - 4s 333ms/step - loss: 2.6083e-04 - val_loss: 0.0152\n",
      "Epoch 39/100\n",
      "12/12 [==============================] - 4s 321ms/step - loss: 2.3463e-04 - val_loss: 0.0140\n",
      "Epoch 40/100\n",
      "12/12 [==============================] - 4s 312ms/step - loss: 2.2350e-04 - val_loss: 0.0137\n",
      "Epoch 41/100\n",
      "12/12 [==============================] - 4s 315ms/step - loss: 2.6305e-04 - val_loss: 0.0146\n",
      "Epoch 42/100\n",
      "12/12 [==============================] - 4s 300ms/step - loss: 2.2550e-04 - val_loss: 0.0150\n",
      "Epoch 43/100\n",
      "12/12 [==============================] - 4s 310ms/step - loss: 2.1470e-04 - val_loss: 0.0148\n",
      "Epoch 44/100\n",
      "12/12 [==============================] - 4s 297ms/step - loss: 2.2810e-04 - val_loss: 0.0145\n",
      "Epoch 45/100\n",
      "12/12 [==============================] - 4s 306ms/step - loss: 2.2153e-04 - val_loss: 0.0149\n",
      "Epoch 46/100\n",
      "12/12 [==============================] - 4s 324ms/step - loss: 2.3080e-04 - val_loss: 0.0144\n",
      "Epoch 47/100\n",
      "12/12 [==============================] - 4s 306ms/step - loss: 2.0059e-04 - val_loss: 0.0134\n",
      "Epoch 48/100\n",
      "12/12 [==============================] - 4s 308ms/step - loss: 2.1946e-04 - val_loss: 0.0148\n",
      "Epoch 49/100\n",
      "12/12 [==============================] - 4s 307ms/step - loss: 2.3204e-04 - val_loss: 0.0123\n",
      "Epoch 50/100\n",
      "12/12 [==============================] - 4s 315ms/step - loss: 2.2295e-04 - val_loss: 0.0146\n",
      "Epoch 51/100\n",
      "12/12 [==============================] - 4s 335ms/step - loss: 2.1077e-04 - val_loss: 0.0119\n",
      "Epoch 52/100\n",
      "12/12 [==============================] - 4s 367ms/step - loss: 1.8548e-04 - val_loss: 0.0122\n",
      "Epoch 53/100\n",
      "12/12 [==============================] - 4s 351ms/step - loss: 2.1424e-04 - val_loss: 0.0118\n",
      "Epoch 54/100\n",
      "12/12 [==============================] - 4s 365ms/step - loss: 2.1048e-04 - val_loss: 0.0112\n",
      "Epoch 55/100\n",
      "12/12 [==============================] - 4s 341ms/step - loss: 1.8148e-04 - val_loss: 0.0123\n",
      "Epoch 56/100\n",
      "12/12 [==============================] - 4s 349ms/step - loss: 1.9121e-04 - val_loss: 0.0118\n",
      "Epoch 57/100\n",
      "12/12 [==============================] - 4s 329ms/step - loss: 2.0498e-04 - val_loss: 0.0115\n",
      "Epoch 58/100\n",
      "12/12 [==============================] - 4s 326ms/step - loss: 1.6651e-04 - val_loss: 0.0119\n",
      "Epoch 59/100\n",
      "12/12 [==============================] - 4s 320ms/step - loss: 1.8210e-04 - val_loss: 0.0114\n",
      "Epoch 60/100\n",
      "12/12 [==============================] - 4s 348ms/step - loss: 1.9107e-04 - val_loss: 0.0108\n",
      "Epoch 61/100\n",
      "12/12 [==============================] - 4s 312ms/step - loss: 1.8788e-04 - val_loss: 0.0122\n",
      "Epoch 62/100\n",
      "12/12 [==============================] - 4s 319ms/step - loss: 1.8813e-04 - val_loss: 0.0116\n",
      "Epoch 63/100\n",
      "12/12 [==============================] - 4s 338ms/step - loss: 1.9177e-04 - val_loss: 0.0101\n",
      "Epoch 64/100\n",
      "12/12 [==============================] - 4s 321ms/step - loss: 1.9480e-04 - val_loss: 0.0122\n",
      "Epoch 65/100\n",
      "12/12 [==============================] - 4s 317ms/step - loss: 1.8894e-04 - val_loss: 0.0104\n",
      "Epoch 66/100\n",
      "12/12 [==============================] - 4s 319ms/step - loss: 1.9311e-04 - val_loss: 0.0097\n",
      "Epoch 67/100\n",
      "12/12 [==============================] - 4s 309ms/step - loss: 2.0468e-04 - val_loss: 0.0117\n",
      "Epoch 68/100\n",
      "12/12 [==============================] - 4s 309ms/step - loss: 1.5913e-04 - val_loss: 0.0097\n",
      "Epoch 69/100\n",
      "12/12 [==============================] - 4s 314ms/step - loss: 1.7464e-04 - val_loss: 0.0133\n",
      "Epoch 70/100\n",
      "12/12 [==============================] - 4s 302ms/step - loss: 2.4583e-04 - val_loss: 0.0089\n",
      "Epoch 71/100\n",
      "12/12 [==============================] - 4s 310ms/step - loss: 1.9623e-04 - val_loss: 0.0098\n",
      "Epoch 72/100\n",
      "12/12 [==============================] - 4s 319ms/step - loss: 1.8642e-04 - val_loss: 0.0107\n",
      "Epoch 73/100\n",
      "12/12 [==============================] - 4s 308ms/step - loss: 1.8896e-04 - val_loss: 0.0115\n",
      "Epoch 74/100\n",
      "12/12 [==============================] - 5s 399ms/step - loss: 1.9376e-04 - val_loss: 0.0095\n",
      "Epoch 75/100\n",
      "12/12 [==============================] - 5s 406ms/step - loss: 1.4512e-04 - val_loss: 0.0106\n",
      "Epoch 76/100\n",
      "12/12 [==============================] - 4s 364ms/step - loss: 1.6631e-04 - val_loss: 0.0089\n",
      "Epoch 77/100\n",
      "12/12 [==============================] - 4s 349ms/step - loss: 1.6381e-04 - val_loss: 0.0094\n",
      "Epoch 78/100\n",
      "12/12 [==============================] - 5s 396ms/step - loss: 1.5957e-04 - val_loss: 0.0103\n",
      "Epoch 79/100\n",
      "12/12 [==============================] - 4s 322ms/step - loss: 1.5865e-04 - val_loss: 0.0092\n",
      "Epoch 80/100\n",
      "12/12 [==============================] - 4s 338ms/step - loss: 1.4746e-04 - val_loss: 0.0094\n",
      "Epoch 81/100\n",
      "12/12 [==============================] - 4s 363ms/step - loss: 1.2765e-04 - val_loss: 0.0091\n",
      "Epoch 82/100\n",
      "12/12 [==============================] - 4s 323ms/step - loss: 1.3855e-04 - val_loss: 0.0101\n",
      "Epoch 83/100\n",
      "12/12 [==============================] - 4s 305ms/step - loss: 1.6767e-04 - val_loss: 0.0077\n",
      "Epoch 84/100\n",
      "12/12 [==============================] - 4s 316ms/step - loss: 1.7276e-04 - val_loss: 0.0099-0\n",
      "Epoch 85/100\n",
      "12/12 [==============================] - 4s 315ms/step - loss: 1.9056e-04 - val_loss: 0.0095\n",
      "Epoch 86/100\n",
      "12/12 [==============================] - 4s 305ms/step - loss: 1.6283e-04 - val_loss: 0.0079\n",
      "Epoch 87/100\n",
      "12/12 [==============================] - 4s 310ms/step - loss: 1.2509e-04 - val_loss: 0.0078\n",
      "Epoch 88/100\n",
      "12/12 [==============================] - 4s 344ms/step - loss: 1.3351e-04 - val_loss: 0.0086\n",
      "Epoch 89/100\n",
      "12/12 [==============================] - 4s 308ms/step - loss: 1.4751e-04 - val_loss: 0.0091\n",
      "Epoch 90/100\n",
      "12/12 [==============================] - 4s 296ms/step - loss: 1.2886e-04 - val_loss: 0.0081\n",
      "Epoch 91/100\n",
      "12/12 [==============================] - 4s 308ms/step - loss: 1.3126e-04 - val_loss: 0.0079\n",
      "Epoch 92/100\n",
      "12/12 [==============================] - 4s 346ms/step - loss: 1.3759e-04 - val_loss: 0.0077\n",
      "Epoch 93/100\n",
      "12/12 [==============================] - 4s 302ms/step - loss: 1.2545e-04 - val_loss: 0.0094\n",
      "Epoch 94/100\n",
      "12/12 [==============================] - 4s 304ms/step - loss: 1.3754e-04 - val_loss: 0.0079\n",
      "Epoch 95/100\n",
      "12/12 [==============================] - 4s 300ms/step - loss: 1.4590e-04 - val_loss: 0.0082\n",
      "Epoch 96/100\n",
      "12/12 [==============================] - 4s 315ms/step - loss: 1.4989e-04 - val_loss: 0.0063\n",
      "Epoch 97/100\n",
      "12/12 [==============================] - 4s 308ms/step - loss: 1.3586e-04 - val_loss: 0.0074\n",
      "Epoch 98/100\n",
      "12/12 [==============================] - 4s 303ms/step - loss: 1.2407e-04 - val_loss: 0.0068\n",
      "Epoch 99/100\n",
      "12/12 [==============================] - 4s 300ms/step - loss: 1.5227e-04 - val_loss: 0.0074\n",
      "Epoch 100/100\n",
      "12/12 [==============================] - 4s 366ms/step - loss: 1.3854e-04 - val_loss: 0.0068\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.callbacks.History at 0x20ba618dc40>"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(X_train, y_train, validation_data=(X_test,y_test),epochs=100, batch_size=64,verbose=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Predictions and Evaluation of the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Let's do the predictions\n",
    "train_predict = model.predict(X_train)\n",
    "test_predict = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Transform back to original form\n",
    "train_predict = scaler.inverse_transform(train_predict)\n",
    "test_predict = scaler.inverse_transform(test_predict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Root Mean Squared of train:  187.67053163017803\n"
     ]
    }
   ],
   "source": [
    "#Calculate Root Mean Squared Error (RMSE) performance matrix\n",
    "import math\n",
    "from sklearn.metrics import mean_squared_error\n",
    "test_mse = mean_squared_error(y_train, train_predict)\n",
    "test_rmse = math.sqrt(test_mse)\n",
    "print(\"Root Mean Squared of train: \",test_rmse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Root Mean squared of test:  221.6854341299227\n"
     ]
    }
   ],
   "source": [
    "#test data rmse\n",
    "test_mse = mean_squared_error(y_test, test_predict)\n",
    "test_rsme= math.sqrt(test_mse)\n",
    "print(\"Root Mean squared of test: \", test_rsme)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# shift train predictions for plotting\n",
    "look_back = 100\n",
    "trainPredictPlot = np.empty_like(df1)\n",
    "trainPredictPlot[:,:] = np.nan\n",
    "trainPredictPlot[look_back:len(train_predict)+look_back, :] = train_predict\n",
    "#shift test predictions for plotting\n",
    "testPredictPlot = np.empty_like(df1)\n",
    "testPredictPlot[:,:] = np.nan\n",
    "testPredictPlot[len(train_predict)+(look_back*2)+1:len(df1)-1,:] = test_predict\n",
    "#plot baseline and predictions\n",
    "plt.plot(scaler.inverse_transform(df1))\n",
    "plt.plot(trainPredictPlot)\n",
    "plt.plot(testPredictPlot)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "440"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(test_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 99)"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_input = test_data[341:].reshape(1,-1)\n",
    "X_input.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp_input = list(X_input)\n",
    "temp_input = temp_input[0].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.050452070532993665,\n",
       " 0.04260952095509268,\n",
       " 0.04810430091413159,\n",
       " 0.054298416504320934,\n",
       " 0.05135121634447276,\n",
       " 0.04780458564363854,\n",
       " 0.04740496528298116,\n",
       " 0.05394874868874572,\n",
       " 0.04925320945102157,\n",
       " 0.05342424696538289,\n",
       " 0.05292472151456118,\n",
       " 0.05279984015185574,\n",
       " 0.048878565362905246,\n",
       " 0.047205155102652496,\n",
       " 0.04638093810879668,\n",
       " 0.04832908736700137,\n",
       " 0.04453269394075632,\n",
       " 0.0504021179879115,\n",
       " 0.05042709426045261,\n",
       " 0.0525251011539038,\n",
       " 0.05349917578300617,\n",
       " 0.05095159598381538,\n",
       " 0.05404865377891005,\n",
       " 0.06186622708426992,\n",
       " 0.05976822019081868,\n",
       " 0.061042010090414156,\n",
       " 0.0651381187871522,\n",
       " 0.06181627453918781,\n",
       " 0.06641190868674762,\n",
       " 0.07060792247365,\n",
       " 0.06990858684249962,\n",
       " 0.06918427493880813,\n",
       " 0.06843498676257559,\n",
       " 0.07260602427693691,\n",
       " 0.07647734652080529,\n",
       " 0.07805085169089365,\n",
       " 0.07882511613966736,\n",
       " 0.08554373345321947,\n",
       " 0.09068884559668317,\n",
       " 0.09705779509466006,\n",
       " 0.09373595084669567,\n",
       " 0.09840651381187876,\n",
       " 0.09688296118687245,\n",
       " 0.09973025625655624,\n",
       " 0.10849692791847748,\n",
       " 0.10682351765822468,\n",
       " 0.1016034766971377,\n",
       " 0.09176282531594981,\n",
       " 0.10100404615615166,\n",
       " 0.09913082571557025,\n",
       " 0.1026275038713223,\n",
       " 0.1070233278385534,\n",
       " 0.1080973075578201,\n",
       " 0.10255257505369902,\n",
       " 0.0980818222688446,\n",
       " 0.09973025625655624,\n",
       " 0.10027973425246023,\n",
       " 0.0994305409860633,\n",
       " 0.10402617513362311,\n",
       " 0.10300214795943852,\n",
       " 0.10327688695739051,\n",
       " 0.10097906988361055,\n",
       " 0.10085418852090516,\n",
       " 0.0996303511663919,\n",
       " 0.10027973425246023,\n",
       " 0.10784754483240916,\n",
       " 0.10837204655577198,\n",
       " 0.1134172536090714,\n",
       " 0.11109446026275038,\n",
       " 0.10152854787951449,\n",
       " 0.10237774114591136,\n",
       " 0.10609920575453319,\n",
       " 0.10989559918077829,\n",
       " 0.10967081272790852,\n",
       " 0.10652380238773168,\n",
       " 0.1044757480393626,\n",
       " 0.10712323292871773,\n",
       " 0.1184125081172886,\n",
       " 0.11519056895948854,\n",
       " 0.11688895549228234,\n",
       " 0.11973625056196613,\n",
       " 0.12135970827713677,\n",
       " 0.12732903741445628,\n",
       " 0.12338278635296474,\n",
       " 0.12078525400869172,\n",
       " 0.10804735501273788,\n",
       " 0.10949597882012091,\n",
       " 0.10592437184674564,\n",
       " 0.10819721264798443,\n",
       " 0.10759778210699833,\n",
       " 0.10077925970328189,\n",
       " 0.09298666267046307,\n",
       " 0.09421050002497627,\n",
       " 0.10025475797991906,\n",
       " 0.10270243268894552,\n",
       " 0.10292721914181524,\n",
       " 0.09905589689794697,\n",
       " 0.09041410659873123,\n",
       " 0.09271192367251113]"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp_input"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.050452070532993665, 0.04260952095509268, 0.04810430091413159, 0.054298416504320934, 0.05135121634447276, 0.04780458564363854, 0.04740496528298116, 0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692]\n",
      "1 day input [0.04260952 0.0481043  0.05429842 0.05135122 0.04780459 0.04740497\n",
      " 0.05394875 0.04925321 0.05342425 0.05292472 0.05279984 0.04887857\n",
      " 0.04720516 0.04638094 0.04832909 0.04453269 0.05040212 0.05042709\n",
      " 0.0525251  0.05349918 0.0509516  0.05404865 0.06186623 0.05976822\n",
      " 0.06104201 0.06513812 0.06181627 0.06641191 0.07060792 0.06990859\n",
      " 0.06918427 0.06843499 0.07260602 0.07647735 0.07805085 0.07882512\n",
      " 0.08554373 0.09068885 0.0970578  0.09373595 0.09840651 0.09688296\n",
      " 0.09973026 0.10849693 0.10682352 0.10160348 0.09176283 0.10100405\n",
      " 0.09913083 0.1026275  0.10702333 0.10809731 0.10255258 0.09808182\n",
      " 0.09973026 0.10027973 0.09943054 0.10402618 0.10300215 0.10327689\n",
      " 0.10097907 0.10085419 0.09963035 0.10027973 0.10784754 0.10837205\n",
      " 0.11341725 0.11109446 0.10152855 0.10237774 0.10609921 0.1098956\n",
      " 0.10967081 0.1065238  0.10447575 0.10712323 0.11841251 0.11519057\n",
      " 0.11688896 0.11973625 0.12135971 0.12732904 0.12338279 0.12078525\n",
      " 0.10804736 0.10949598 0.10592437 0.10819721 0.10759778 0.10077926\n",
      " 0.09298666 0.0942105  0.10025476 0.10270243 0.10292722 0.0990559\n",
      " 0.09041411 0.09271192 0.1018388  0.1018388 ]\n",
      "[[[0.04260952]\n",
      "  [0.0481043 ]\n",
      "  [0.05429842]\n",
      "  [0.05135122]\n",
      "  [0.04780459]\n",
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      "  [0.05394875]\n",
      "  [0.04925321]\n",
      "  [0.05342425]\n",
      "  [0.05292472]\n",
      "  [0.05279984]\n",
      "  [0.04887857]\n",
      "  [0.04720516]\n",
      "  [0.04638094]\n",
      "  [0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
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      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]]]\n",
      "0 day input [[0.1015466]]\n",
      "[0.04260952095509268, 0.04810430091413159, 0.054298416504320934, 0.05135121634447276, 0.04780458564363854, 0.04740496528298116, 0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616]\n",
      "[0.04260952095509268, 0.04810430091413159, 0.054298416504320934, 0.05135121634447276, 0.04780458564363854, 0.04740496528298116, 0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616]\n",
      "1 day input [0.0481043  0.05429842 0.05135122 0.04780459 0.04740497 0.05394875\n",
      " 0.04925321 0.05342425 0.05292472 0.05279984 0.04887857 0.04720516\n",
      " 0.04638094 0.04832909 0.04453269 0.05040212 0.05042709 0.0525251\n",
      " 0.05349918 0.0509516  0.05404865 0.06186623 0.05976822 0.06104201\n",
      " 0.06513812 0.06181627 0.06641191 0.07060792 0.06990859 0.06918427\n",
      " 0.06843499 0.07260602 0.07647735 0.07805085 0.07882512 0.08554373\n",
      " 0.09068885 0.0970578  0.09373595 0.09840651 0.09688296 0.09973026\n",
      " 0.10849693 0.10682352 0.10160348 0.09176283 0.10100405 0.09913083\n",
      " 0.1026275  0.10702333 0.10809731 0.10255258 0.09808182 0.09973026\n",
      " 0.10027973 0.09943054 0.10402618 0.10300215 0.10327689 0.10097907\n",
      " 0.10085419 0.09963035 0.10027973 0.10784754 0.10837205 0.11341725\n",
      " 0.11109446 0.10152855 0.10237774 0.10609921 0.1098956  0.10967081\n",
      " 0.1065238  0.10447575 0.10712323 0.11841251 0.11519057 0.11688896\n",
      " 0.11973625 0.12135971 0.12732904 0.12338279 0.12078525 0.10804736\n",
      " 0.10949598 0.10592437 0.10819721 0.10759778 0.10077926 0.09298666\n",
      " 0.0942105  0.10025476 0.10270243 0.10292722 0.0990559  0.09041411\n",
      " 0.09271192 0.1018388  0.1018388  0.1015466 ]\n",
      "[[[0.0481043 ]\n",
      "  [0.05429842]\n",
      "  [0.05135122]\n",
      "  [0.04780459]\n",
      "  [0.04740497]\n",
      "  [0.05394875]\n",
      "  [0.04925321]\n",
      "  [0.05342425]\n",
      "  [0.05292472]\n",
      "  [0.05279984]\n",
      "  [0.04887857]\n",
      "  [0.04720516]\n",
      "  [0.04638094]\n",
      "  [0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
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      "  [0.06104201]\n",
      "  [0.06513812]\n",
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      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
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      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 day input [[0.10215618]]\n",
      "[0.04810430091413159, 0.054298416504320934, 0.05135121634447276, 0.04780458564363854, 0.04740496528298116, 0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408]\n",
      "[0.04810430091413159, 0.054298416504320934, 0.05135121634447276, 0.04780458564363854, 0.04740496528298116, 0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408]\n",
      "1 day input [0.05429842 0.05135122 0.04780459 0.04740497 0.05394875 0.04925321\n",
      " 0.05342425 0.05292472 0.05279984 0.04887857 0.04720516 0.04638094\n",
      " 0.04832909 0.04453269 0.05040212 0.05042709 0.0525251  0.05349918\n",
      " 0.0509516  0.05404865 0.06186623 0.05976822 0.06104201 0.06513812\n",
      " 0.06181627 0.06641191 0.07060792 0.06990859 0.06918427 0.06843499\n",
      " 0.07260602 0.07647735 0.07805085 0.07882512 0.08554373 0.09068885\n",
      " 0.0970578  0.09373595 0.09840651 0.09688296 0.09973026 0.10849693\n",
      " 0.10682352 0.10160348 0.09176283 0.10100405 0.09913083 0.1026275\n",
      " 0.10702333 0.10809731 0.10255258 0.09808182 0.09973026 0.10027973\n",
      " 0.09943054 0.10402618 0.10300215 0.10327689 0.10097907 0.10085419\n",
      " 0.09963035 0.10027973 0.10784754 0.10837205 0.11341725 0.11109446\n",
      " 0.10152855 0.10237774 0.10609921 0.1098956  0.10967081 0.1065238\n",
      " 0.10447575 0.10712323 0.11841251 0.11519057 0.11688896 0.11973625\n",
      " 0.12135971 0.12732904 0.12338279 0.12078525 0.10804736 0.10949598\n",
      " 0.10592437 0.10819721 0.10759778 0.10077926 0.09298666 0.0942105\n",
      " 0.10025476 0.10270243 0.10292722 0.0990559  0.09041411 0.09271192\n",
      " 0.1018388  0.1018388  0.1015466  0.10215618]\n",
      "[[[0.05429842]\n",
      "  [0.05135122]\n",
      "  [0.04780459]\n",
      "  [0.04740497]\n",
      "  [0.05394875]\n",
      "  [0.04925321]\n",
      "  [0.05342425]\n",
      "  [0.05292472]\n",
      "  [0.05279984]\n",
      "  [0.04887857]\n",
      "  [0.04720516]\n",
      "  [0.04638094]\n",
      "  [0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]]]\n",
      "2 day input [[0.10301737]]\n",
      "[0.054298416504320934, 0.05135121634447276, 0.04780458564363854, 0.04740496528298116, 0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132]\n",
      "[0.054298416504320934, 0.05135121634447276, 0.04780458564363854, 0.04740496528298116, 0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132]\n",
      "1 day input [0.05135122 0.04780459 0.04740497 0.05394875 0.04925321 0.05342425\n",
      " 0.05292472 0.05279984 0.04887857 0.04720516 0.04638094 0.04832909\n",
      " 0.04453269 0.05040212 0.05042709 0.0525251  0.05349918 0.0509516\n",
      " 0.05404865 0.06186623 0.05976822 0.06104201 0.06513812 0.06181627\n",
      " 0.06641191 0.07060792 0.06990859 0.06918427 0.06843499 0.07260602\n",
      " 0.07647735 0.07805085 0.07882512 0.08554373 0.09068885 0.0970578\n",
      " 0.09373595 0.09840651 0.09688296 0.09973026 0.10849693 0.10682352\n",
      " 0.10160348 0.09176283 0.10100405 0.09913083 0.1026275  0.10702333\n",
      " 0.10809731 0.10255258 0.09808182 0.09973026 0.10027973 0.09943054\n",
      " 0.10402618 0.10300215 0.10327689 0.10097907 0.10085419 0.09963035\n",
      " 0.10027973 0.10784754 0.10837205 0.11341725 0.11109446 0.10152855\n",
      " 0.10237774 0.10609921 0.1098956  0.10967081 0.1065238  0.10447575\n",
      " 0.10712323 0.11841251 0.11519057 0.11688896 0.11973625 0.12135971\n",
      " 0.12732904 0.12338279 0.12078525 0.10804736 0.10949598 0.10592437\n",
      " 0.10819721 0.10759778 0.10077926 0.09298666 0.0942105  0.10025476\n",
      " 0.10270243 0.10292722 0.0990559  0.09041411 0.09271192 0.1018388\n",
      " 0.1018388  0.1015466  0.10215618 0.10301737]\n",
      "[[[0.05135122]\n",
      "  [0.04780459]\n",
      "  [0.04740497]\n",
      "  [0.05394875]\n",
      "  [0.04925321]\n",
      "  [0.05342425]\n",
      "  [0.05292472]\n",
      "  [0.05279984]\n",
      "  [0.04887857]\n",
      "  [0.04720516]\n",
      "  [0.04638094]\n",
      "  [0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3 day input [[0.1039666]]\n",
      "[0.05135121634447276, 0.04780458564363854, 0.04740496528298116, 0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512]\n",
      "[0.05135121634447276, 0.04780458564363854, 0.04740496528298116, 0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512]\n",
      "1 day input [0.04780459 0.04740497 0.05394875 0.04925321 0.05342425 0.05292472\n",
      " 0.05279984 0.04887857 0.04720516 0.04638094 0.04832909 0.04453269\n",
      " 0.05040212 0.05042709 0.0525251  0.05349918 0.0509516  0.05404865\n",
      " 0.06186623 0.05976822 0.06104201 0.06513812 0.06181627 0.06641191\n",
      " 0.07060792 0.06990859 0.06918427 0.06843499 0.07260602 0.07647735\n",
      " 0.07805085 0.07882512 0.08554373 0.09068885 0.0970578  0.09373595\n",
      " 0.09840651 0.09688296 0.09973026 0.10849693 0.10682352 0.10160348\n",
      " 0.09176283 0.10100405 0.09913083 0.1026275  0.10702333 0.10809731\n",
      " 0.10255258 0.09808182 0.09973026 0.10027973 0.09943054 0.10402618\n",
      " 0.10300215 0.10327689 0.10097907 0.10085419 0.09963035 0.10027973\n",
      " 0.10784754 0.10837205 0.11341725 0.11109446 0.10152855 0.10237774\n",
      " 0.10609921 0.1098956  0.10967081 0.1065238  0.10447575 0.10712323\n",
      " 0.11841251 0.11519057 0.11688896 0.11973625 0.12135971 0.12732904\n",
      " 0.12338279 0.12078525 0.10804736 0.10949598 0.10592437 0.10819721\n",
      " 0.10759778 0.10077926 0.09298666 0.0942105  0.10025476 0.10270243\n",
      " 0.10292722 0.0990559  0.09041411 0.09271192 0.1018388  0.1018388\n",
      " 0.1015466  0.10215618 0.10301737 0.1039666 ]\n",
      "[[[0.04780459]\n",
      "  [0.04740497]\n",
      "  [0.05394875]\n",
      "  [0.04925321]\n",
      "  [0.05342425]\n",
      "  [0.05292472]\n",
      "  [0.05279984]\n",
      "  [0.04887857]\n",
      "  [0.04720516]\n",
      "  [0.04638094]\n",
      "  [0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]]]\n",
      "4 day input [[0.10490406]]\n",
      "[0.04780458564363854, 0.04740496528298116, 0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855]\n",
      "[0.04780458564363854, 0.04740496528298116, 0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855]\n",
      "1 day input [0.04740497 0.05394875 0.04925321 0.05342425 0.05292472 0.05279984\n",
      " 0.04887857 0.04720516 0.04638094 0.04832909 0.04453269 0.05040212\n",
      " 0.05042709 0.0525251  0.05349918 0.0509516  0.05404865 0.06186623\n",
      " 0.05976822 0.06104201 0.06513812 0.06181627 0.06641191 0.07060792\n",
      " 0.06990859 0.06918427 0.06843499 0.07260602 0.07647735 0.07805085\n",
      " 0.07882512 0.08554373 0.09068885 0.0970578  0.09373595 0.09840651\n",
      " 0.09688296 0.09973026 0.10849693 0.10682352 0.10160348 0.09176283\n",
      " 0.10100405 0.09913083 0.1026275  0.10702333 0.10809731 0.10255258\n",
      " 0.09808182 0.09973026 0.10027973 0.09943054 0.10402618 0.10300215\n",
      " 0.10327689 0.10097907 0.10085419 0.09963035 0.10027973 0.10784754\n",
      " 0.10837205 0.11341725 0.11109446 0.10152855 0.10237774 0.10609921\n",
      " 0.1098956  0.10967081 0.1065238  0.10447575 0.10712323 0.11841251\n",
      " 0.11519057 0.11688896 0.11973625 0.12135971 0.12732904 0.12338279\n",
      " 0.12078525 0.10804736 0.10949598 0.10592437 0.10819721 0.10759778\n",
      " 0.10077926 0.09298666 0.0942105  0.10025476 0.10270243 0.10292722\n",
      " 0.0990559  0.09041411 0.09271192 0.1018388  0.1018388  0.1015466\n",
      " 0.10215618 0.10301737 0.1039666  0.10490406]\n",
      "[[[0.04740497]\n",
      "  [0.05394875]\n",
      "  [0.04925321]\n",
      "  [0.05342425]\n",
      "  [0.05292472]\n",
      "  [0.05279984]\n",
      "  [0.04887857]\n",
      "  [0.04720516]\n",
      "  [0.04638094]\n",
      "  [0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5 day input [[0.10578302]]\n",
      "[0.04740496528298116, 0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884]\n",
      "[0.04740496528298116, 0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884]\n",
      "1 day input [0.05394875 0.04925321 0.05342425 0.05292472 0.05279984 0.04887857\n",
      " 0.04720516 0.04638094 0.04832909 0.04453269 0.05040212 0.05042709\n",
      " 0.0525251  0.05349918 0.0509516  0.05404865 0.06186623 0.05976822\n",
      " 0.06104201 0.06513812 0.06181627 0.06641191 0.07060792 0.06990859\n",
      " 0.06918427 0.06843499 0.07260602 0.07647735 0.07805085 0.07882512\n",
      " 0.08554373 0.09068885 0.0970578  0.09373595 0.09840651 0.09688296\n",
      " 0.09973026 0.10849693 0.10682352 0.10160348 0.09176283 0.10100405\n",
      " 0.09913083 0.1026275  0.10702333 0.10809731 0.10255258 0.09808182\n",
      " 0.09973026 0.10027973 0.09943054 0.10402618 0.10300215 0.10327689\n",
      " 0.10097907 0.10085419 0.09963035 0.10027973 0.10784754 0.10837205\n",
      " 0.11341725 0.11109446 0.10152855 0.10237774 0.10609921 0.1098956\n",
      " 0.10967081 0.1065238  0.10447575 0.10712323 0.11841251 0.11519057\n",
      " 0.11688896 0.11973625 0.12135971 0.12732904 0.12338279 0.12078525\n",
      " 0.10804736 0.10949598 0.10592437 0.10819721 0.10759778 0.10077926\n",
      " 0.09298666 0.0942105  0.10025476 0.10270243 0.10292722 0.0990559\n",
      " 0.09041411 0.09271192 0.1018388  0.1018388  0.1015466  0.10215618\n",
      " 0.10301737 0.1039666  0.10490406 0.10578302]\n",
      "[[[0.05394875]\n",
      "  [0.04925321]\n",
      "  [0.05342425]\n",
      "  [0.05292472]\n",
      "  [0.05279984]\n",
      "  [0.04887857]\n",
      "  [0.04720516]\n",
      "  [0.04638094]\n",
      "  [0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]]]\n",
      "6 day input [[0.10659071]]\n",
      "[0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897]\n",
      "[0.05394874868874572, 0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897]\n",
      "1 day input [0.04925321 0.05342425 0.05292472 0.05279984 0.04887857 0.04720516\n",
      " 0.04638094 0.04832909 0.04453269 0.05040212 0.05042709 0.0525251\n",
      " 0.05349918 0.0509516  0.05404865 0.06186623 0.05976822 0.06104201\n",
      " 0.06513812 0.06181627 0.06641191 0.07060792 0.06990859 0.06918427\n",
      " 0.06843499 0.07260602 0.07647735 0.07805085 0.07882512 0.08554373\n",
      " 0.09068885 0.0970578  0.09373595 0.09840651 0.09688296 0.09973026\n",
      " 0.10849693 0.10682352 0.10160348 0.09176283 0.10100405 0.09913083\n",
      " 0.1026275  0.10702333 0.10809731 0.10255258 0.09808182 0.09973026\n",
      " 0.10027973 0.09943054 0.10402618 0.10300215 0.10327689 0.10097907\n",
      " 0.10085419 0.09963035 0.10027973 0.10784754 0.10837205 0.11341725\n",
      " 0.11109446 0.10152855 0.10237774 0.10609921 0.1098956  0.10967081\n",
      " 0.1065238  0.10447575 0.10712323 0.11841251 0.11519057 0.11688896\n",
      " 0.11973625 0.12135971 0.12732904 0.12338279 0.12078525 0.10804736\n",
      " 0.10949598 0.10592437 0.10819721 0.10759778 0.10077926 0.09298666\n",
      " 0.0942105  0.10025476 0.10270243 0.10292722 0.0990559  0.09041411\n",
      " 0.09271192 0.1018388  0.1018388  0.1015466  0.10215618 0.10301737\n",
      " 0.1039666  0.10490406 0.10578302 0.10659071]\n",
      "[[[0.04925321]\n",
      "  [0.05342425]\n",
      "  [0.05292472]\n",
      "  [0.05279984]\n",
      "  [0.04887857]\n",
      "  [0.04720516]\n",
      "  [0.04638094]\n",
      "  [0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7 day input [[0.10733202]]\n",
      "[0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011]\n",
      "[0.04925320945102157, 0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011]\n",
      "1 day input [0.05342425 0.05292472 0.05279984 0.04887857 0.04720516 0.04638094\n",
      " 0.04832909 0.04453269 0.05040212 0.05042709 0.0525251  0.05349918\n",
      " 0.0509516  0.05404865 0.06186623 0.05976822 0.06104201 0.06513812\n",
      " 0.06181627 0.06641191 0.07060792 0.06990859 0.06918427 0.06843499\n",
      " 0.07260602 0.07647735 0.07805085 0.07882512 0.08554373 0.09068885\n",
      " 0.0970578  0.09373595 0.09840651 0.09688296 0.09973026 0.10849693\n",
      " 0.10682352 0.10160348 0.09176283 0.10100405 0.09913083 0.1026275\n",
      " 0.10702333 0.10809731 0.10255258 0.09808182 0.09973026 0.10027973\n",
      " 0.09943054 0.10402618 0.10300215 0.10327689 0.10097907 0.10085419\n",
      " 0.09963035 0.10027973 0.10784754 0.10837205 0.11341725 0.11109446\n",
      " 0.10152855 0.10237774 0.10609921 0.1098956  0.10967081 0.1065238\n",
      " 0.10447575 0.10712323 0.11841251 0.11519057 0.11688896 0.11973625\n",
      " 0.12135971 0.12732904 0.12338279 0.12078525 0.10804736 0.10949598\n",
      " 0.10592437 0.10819721 0.10759778 0.10077926 0.09298666 0.0942105\n",
      " 0.10025476 0.10270243 0.10292722 0.0990559  0.09041411 0.09271192\n",
      " 0.1018388  0.1018388  0.1015466  0.10215618 0.10301737 0.1039666\n",
      " 0.10490406 0.10578302 0.10659071 0.10733202]\n",
      "[[[0.05342425]\n",
      "  [0.05292472]\n",
      "  [0.05279984]\n",
      "  [0.04887857]\n",
      "  [0.04720516]\n",
      "  [0.04638094]\n",
      "  [0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]]]\n",
      "8 day input [[0.1080188]]\n",
      "[0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434]\n",
      "[0.05342424696538289, 0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434]\n",
      "1 day input [0.05292472 0.05279984 0.04887857 0.04720516 0.04638094 0.04832909\n",
      " 0.04453269 0.05040212 0.05042709 0.0525251  0.05349918 0.0509516\n",
      " 0.05404865 0.06186623 0.05976822 0.06104201 0.06513812 0.06181627\n",
      " 0.06641191 0.07060792 0.06990859 0.06918427 0.06843499 0.07260602\n",
      " 0.07647735 0.07805085 0.07882512 0.08554373 0.09068885 0.0970578\n",
      " 0.09373595 0.09840651 0.09688296 0.09973026 0.10849693 0.10682352\n",
      " 0.10160348 0.09176283 0.10100405 0.09913083 0.1026275  0.10702333\n",
      " 0.10809731 0.10255258 0.09808182 0.09973026 0.10027973 0.09943054\n",
      " 0.10402618 0.10300215 0.10327689 0.10097907 0.10085419 0.09963035\n",
      " 0.10027973 0.10784754 0.10837205 0.11341725 0.11109446 0.10152855\n",
      " 0.10237774 0.10609921 0.1098956  0.10967081 0.1065238  0.10447575\n",
      " 0.10712323 0.11841251 0.11519057 0.11688896 0.11973625 0.12135971\n",
      " 0.12732904 0.12338279 0.12078525 0.10804736 0.10949598 0.10592437\n",
      " 0.10819721 0.10759778 0.10077926 0.09298666 0.0942105  0.10025476\n",
      " 0.10270243 0.10292722 0.0990559  0.09041411 0.09271192 0.1018388\n",
      " 0.1018388  0.1015466  0.10215618 0.10301737 0.1039666  0.10490406\n",
      " 0.10578302 0.10659071 0.10733202 0.1080188 ]\n",
      "[[[0.05292472]\n",
      "  [0.05279984]\n",
      "  [0.04887857]\n",
      "  [0.04720516]\n",
      "  [0.04638094]\n",
      "  [0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9 day input [[0.10866436]]\n",
      "[0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654]\n",
      "[0.05292472151456118, 0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654]\n",
      "1 day input [0.05279984 0.04887857 0.04720516 0.04638094 0.04832909 0.04453269\n",
      " 0.05040212 0.05042709 0.0525251  0.05349918 0.0509516  0.05404865\n",
      " 0.06186623 0.05976822 0.06104201 0.06513812 0.06181627 0.06641191\n",
      " 0.07060792 0.06990859 0.06918427 0.06843499 0.07260602 0.07647735\n",
      " 0.07805085 0.07882512 0.08554373 0.09068885 0.0970578  0.09373595\n",
      " 0.09840651 0.09688296 0.09973026 0.10849693 0.10682352 0.10160348\n",
      " 0.09176283 0.10100405 0.09913083 0.1026275  0.10702333 0.10809731\n",
      " 0.10255258 0.09808182 0.09973026 0.10027973 0.09943054 0.10402618\n",
      " 0.10300215 0.10327689 0.10097907 0.10085419 0.09963035 0.10027973\n",
      " 0.10784754 0.10837205 0.11341725 0.11109446 0.10152855 0.10237774\n",
      " 0.10609921 0.1098956  0.10967081 0.1065238  0.10447575 0.10712323\n",
      " 0.11841251 0.11519057 0.11688896 0.11973625 0.12135971 0.12732904\n",
      " 0.12338279 0.12078525 0.10804736 0.10949598 0.10592437 0.10819721\n",
      " 0.10759778 0.10077926 0.09298666 0.0942105  0.10025476 0.10270243\n",
      " 0.10292722 0.0990559  0.09041411 0.09271192 0.1018388  0.1018388\n",
      " 0.1015466  0.10215618 0.10301737 0.1039666  0.10490406 0.10578302\n",
      " 0.10659071 0.10733202 0.1080188  0.10866436]\n",
      "[[[0.05279984]\n",
      "  [0.04887857]\n",
      "  [0.04720516]\n",
      "  [0.04638094]\n",
      "  [0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]]]\n",
      "10 day input [[0.10928115]]\n",
      "[0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115]\n",
      "[0.05279984015185574, 0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115]\n",
      "1 day input [0.04887857 0.04720516 0.04638094 0.04832909 0.04453269 0.05040212\n",
      " 0.05042709 0.0525251  0.05349918 0.0509516  0.05404865 0.06186623\n",
      " 0.05976822 0.06104201 0.06513812 0.06181627 0.06641191 0.07060792\n",
      " 0.06990859 0.06918427 0.06843499 0.07260602 0.07647735 0.07805085\n",
      " 0.07882512 0.08554373 0.09068885 0.0970578  0.09373595 0.09840651\n",
      " 0.09688296 0.09973026 0.10849693 0.10682352 0.10160348 0.09176283\n",
      " 0.10100405 0.09913083 0.1026275  0.10702333 0.10809731 0.10255258\n",
      " 0.09808182 0.09973026 0.10027973 0.09943054 0.10402618 0.10300215\n",
      " 0.10327689 0.10097907 0.10085419 0.09963035 0.10027973 0.10784754\n",
      " 0.10837205 0.11341725 0.11109446 0.10152855 0.10237774 0.10609921\n",
      " 0.1098956  0.10967081 0.1065238  0.10447575 0.10712323 0.11841251\n",
      " 0.11519057 0.11688896 0.11973625 0.12135971 0.12732904 0.12338279\n",
      " 0.12078525 0.10804736 0.10949598 0.10592437 0.10819721 0.10759778\n",
      " 0.10077926 0.09298666 0.0942105  0.10025476 0.10270243 0.10292722\n",
      " 0.0990559  0.09041411 0.09271192 0.1018388  0.1018388  0.1015466\n",
      " 0.10215618 0.10301737 0.1039666  0.10490406 0.10578302 0.10659071\n",
      " 0.10733202 0.1080188  0.10866436 0.10928115]\n",
      "[[[0.04887857]\n",
      "  [0.04720516]\n",
      "  [0.04638094]\n",
      "  [0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]]]\n",
      "11 day input [[0.10987985]]\n",
      "[0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756]\n",
      "[0.048878565362905246, 0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756]\n",
      "1 day input [0.04720516 0.04638094 0.04832909 0.04453269 0.05040212 0.05042709\n",
      " 0.0525251  0.05349918 0.0509516  0.05404865 0.06186623 0.05976822\n",
      " 0.06104201 0.06513812 0.06181627 0.06641191 0.07060792 0.06990859\n",
      " 0.06918427 0.06843499 0.07260602 0.07647735 0.07805085 0.07882512\n",
      " 0.08554373 0.09068885 0.0970578  0.09373595 0.09840651 0.09688296\n",
      " 0.09973026 0.10849693 0.10682352 0.10160348 0.09176283 0.10100405\n",
      " 0.09913083 0.1026275  0.10702333 0.10809731 0.10255258 0.09808182\n",
      " 0.09973026 0.10027973 0.09943054 0.10402618 0.10300215 0.10327689\n",
      " 0.10097907 0.10085419 0.09963035 0.10027973 0.10784754 0.10837205\n",
      " 0.11341725 0.11109446 0.10152855 0.10237774 0.10609921 0.1098956\n",
      " 0.10967081 0.1065238  0.10447575 0.10712323 0.11841251 0.11519057\n",
      " 0.11688896 0.11973625 0.12135971 0.12732904 0.12338279 0.12078525\n",
      " 0.10804736 0.10949598 0.10592437 0.10819721 0.10759778 0.10077926\n",
      " 0.09298666 0.0942105  0.10025476 0.10270243 0.10292722 0.0990559\n",
      " 0.09041411 0.09271192 0.1018388  0.1018388  0.1015466  0.10215618\n",
      " 0.10301737 0.1039666  0.10490406 0.10578302 0.10659071 0.10733202\n",
      " 0.1080188  0.10866436 0.10928115 0.10987985]\n",
      "[[[0.04720516]\n",
      "  [0.04638094]\n",
      "  [0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12 day input [[0.11046939]]\n",
      "[0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035]\n",
      "[0.047205155102652496, 0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035]\n",
      "1 day input [0.04638094 0.04832909 0.04453269 0.05040212 0.05042709 0.0525251\n",
      " 0.05349918 0.0509516  0.05404865 0.06186623 0.05976822 0.06104201\n",
      " 0.06513812 0.06181627 0.06641191 0.07060792 0.06990859 0.06918427\n",
      " 0.06843499 0.07260602 0.07647735 0.07805085 0.07882512 0.08554373\n",
      " 0.09068885 0.0970578  0.09373595 0.09840651 0.09688296 0.09973026\n",
      " 0.10849693 0.10682352 0.10160348 0.09176283 0.10100405 0.09913083\n",
      " 0.1026275  0.10702333 0.10809731 0.10255258 0.09808182 0.09973026\n",
      " 0.10027973 0.09943054 0.10402618 0.10300215 0.10327689 0.10097907\n",
      " 0.10085419 0.09963035 0.10027973 0.10784754 0.10837205 0.11341725\n",
      " 0.11109446 0.10152855 0.10237774 0.10609921 0.1098956  0.10967081\n",
      " 0.1065238  0.10447575 0.10712323 0.11841251 0.11519057 0.11688896\n",
      " 0.11973625 0.12135971 0.12732904 0.12338279 0.12078525 0.10804736\n",
      " 0.10949598 0.10592437 0.10819721 0.10759778 0.10077926 0.09298666\n",
      " 0.0942105  0.10025476 0.10270243 0.10292722 0.0990559  0.09041411\n",
      " 0.09271192 0.1018388  0.1018388  0.1015466  0.10215618 0.10301737\n",
      " 0.1039666  0.10490406 0.10578302 0.10659071 0.10733202 0.1080188\n",
      " 0.10866436 0.10928115 0.10987985 0.11046939]\n",
      "[[[0.04638094]\n",
      "  [0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]]]\n",
      "13 day input [[0.11105704]]\n",
      "[0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093]\n",
      "[0.04638093810879668, 0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093]\n",
      "1 day input [0.04832909 0.04453269 0.05040212 0.05042709 0.0525251  0.05349918\n",
      " 0.0509516  0.05404865 0.06186623 0.05976822 0.06104201 0.06513812\n",
      " 0.06181627 0.06641191 0.07060792 0.06990859 0.06918427 0.06843499\n",
      " 0.07260602 0.07647735 0.07805085 0.07882512 0.08554373 0.09068885\n",
      " 0.0970578  0.09373595 0.09840651 0.09688296 0.09973026 0.10849693\n",
      " 0.10682352 0.10160348 0.09176283 0.10100405 0.09913083 0.1026275\n",
      " 0.10702333 0.10809731 0.10255258 0.09808182 0.09973026 0.10027973\n",
      " 0.09943054 0.10402618 0.10300215 0.10327689 0.10097907 0.10085419\n",
      " 0.09963035 0.10027973 0.10784754 0.10837205 0.11341725 0.11109446\n",
      " 0.10152855 0.10237774 0.10609921 0.1098956  0.10967081 0.1065238\n",
      " 0.10447575 0.10712323 0.11841251 0.11519057 0.11688896 0.11973625\n",
      " 0.12135971 0.12732904 0.12338279 0.12078525 0.10804736 0.10949598\n",
      " 0.10592437 0.10819721 0.10759778 0.10077926 0.09298666 0.0942105\n",
      " 0.10025476 0.10270243 0.10292722 0.0990559  0.09041411 0.09271192\n",
      " 0.1018388  0.1018388  0.1015466  0.10215618 0.10301737 0.1039666\n",
      " 0.10490406 0.10578302 0.10659071 0.10733202 0.1080188  0.10866436\n",
      " 0.10928115 0.10987985 0.11046939 0.11105704]\n",
      "[[[0.04832909]\n",
      "  [0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
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      "  [0.10152855]\n",
      "  [0.10237774]\n",
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      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [0.11105704]]]\n",
      "14 day input [[0.11164837]]\n",
      "[0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698]\n",
      "[0.04832908736700137, 0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698]\n",
      "1 day input [0.04453269 0.05040212 0.05042709 0.0525251  0.05349918 0.0509516\n",
      " 0.05404865 0.06186623 0.05976822 0.06104201 0.06513812 0.06181627\n",
      " 0.06641191 0.07060792 0.06990859 0.06918427 0.06843499 0.07260602\n",
      " 0.07647735 0.07805085 0.07882512 0.08554373 0.09068885 0.0970578\n",
      " 0.09373595 0.09840651 0.09688296 0.09973026 0.10849693 0.10682352\n",
      " 0.10160348 0.09176283 0.10100405 0.09913083 0.1026275  0.10702333\n",
      " 0.10809731 0.10255258 0.09808182 0.09973026 0.10027973 0.09943054\n",
      " 0.10402618 0.10300215 0.10327689 0.10097907 0.10085419 0.09963035\n",
      " 0.10027973 0.10784754 0.10837205 0.11341725 0.11109446 0.10152855\n",
      " 0.10237774 0.10609921 0.1098956  0.10967081 0.1065238  0.10447575\n",
      " 0.10712323 0.11841251 0.11519057 0.11688896 0.11973625 0.12135971\n",
      " 0.12732904 0.12338279 0.12078525 0.10804736 0.10949598 0.10592437\n",
      " 0.10819721 0.10759778 0.10077926 0.09298666 0.0942105  0.10025476\n",
      " 0.10270243 0.10292722 0.0990559  0.09041411 0.09271192 0.1018388\n",
      " 0.1018388  0.1015466  0.10215618 0.10301737 0.1039666  0.10490406\n",
      " 0.10578302 0.10659071 0.10733202 0.1080188  0.10866436 0.10928115\n",
      " 0.10987985 0.11046939 0.11105704 0.11164837]\n",
      "[[[0.04453269]\n",
      "  [0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]]]\n",
      "15 day input [[0.11224745]]\n",
      "[0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443]\n",
      "[0.04453269394075632, 0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443]\n",
      "1 day input [0.05040212 0.05042709 0.0525251  0.05349918 0.0509516  0.05404865\n",
      " 0.06186623 0.05976822 0.06104201 0.06513812 0.06181627 0.06641191\n",
      " 0.07060792 0.06990859 0.06918427 0.06843499 0.07260602 0.07647735\n",
      " 0.07805085 0.07882512 0.08554373 0.09068885 0.0970578  0.09373595\n",
      " 0.09840651 0.09688296 0.09973026 0.10849693 0.10682352 0.10160348\n",
      " 0.09176283 0.10100405 0.09913083 0.1026275  0.10702333 0.10809731\n",
      " 0.10255258 0.09808182 0.09973026 0.10027973 0.09943054 0.10402618\n",
      " 0.10300215 0.10327689 0.10097907 0.10085419 0.09963035 0.10027973\n",
      " 0.10784754 0.10837205 0.11341725 0.11109446 0.10152855 0.10237774\n",
      " 0.10609921 0.1098956  0.10967081 0.1065238  0.10447575 0.10712323\n",
      " 0.11841251 0.11519057 0.11688896 0.11973625 0.12135971 0.12732904\n",
      " 0.12338279 0.12078525 0.10804736 0.10949598 0.10592437 0.10819721\n",
      " 0.10759778 0.10077926 0.09298666 0.0942105  0.10025476 0.10270243\n",
      " 0.10292722 0.0990559  0.09041411 0.09271192 0.1018388  0.1018388\n",
      " 0.1015466  0.10215618 0.10301737 0.1039666  0.10490406 0.10578302\n",
      " 0.10659071 0.10733202 0.1080188  0.10866436 0.10928115 0.10987985\n",
      " 0.11046939 0.11105704 0.11164837 0.11224745]\n",
      "[[[0.05040212]\n",
      "  [0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]\n",
      "  [0.11224745]]]\n",
      "16 day input [[0.11285691]]\n",
      "[0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828]\n",
      "[0.0504021179879115, 0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828]\n",
      "1 day input [0.05042709 0.0525251  0.05349918 0.0509516  0.05404865 0.06186623\n",
      " 0.05976822 0.06104201 0.06513812 0.06181627 0.06641191 0.07060792\n",
      " 0.06990859 0.06918427 0.06843499 0.07260602 0.07647735 0.07805085\n",
      " 0.07882512 0.08554373 0.09068885 0.0970578  0.09373595 0.09840651\n",
      " 0.09688296 0.09973026 0.10849693 0.10682352 0.10160348 0.09176283\n",
      " 0.10100405 0.09913083 0.1026275  0.10702333 0.10809731 0.10255258\n",
      " 0.09808182 0.09973026 0.10027973 0.09943054 0.10402618 0.10300215\n",
      " 0.10327689 0.10097907 0.10085419 0.09963035 0.10027973 0.10784754\n",
      " 0.10837205 0.11341725 0.11109446 0.10152855 0.10237774 0.10609921\n",
      " 0.1098956  0.10967081 0.1065238  0.10447575 0.10712323 0.11841251\n",
      " 0.11519057 0.11688896 0.11973625 0.12135971 0.12732904 0.12338279\n",
      " 0.12078525 0.10804736 0.10949598 0.10592437 0.10819721 0.10759778\n",
      " 0.10077926 0.09298666 0.0942105  0.10025476 0.10270243 0.10292722\n",
      " 0.0990559  0.09041411 0.09271192 0.1018388  0.1018388  0.1015466\n",
      " 0.10215618 0.10301737 0.1039666  0.10490406 0.10578302 0.10659071\n",
      " 0.10733202 0.1080188  0.10866436 0.10928115 0.10987985 0.11046939\n",
      " 0.11105704 0.11164837 0.11224745 0.11285691]\n",
      "[[[0.05042709]\n",
      "  [0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]\n",
      "  [0.11224745]\n",
      "  [0.11285691]]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17 day input [[0.11347815]]\n",
      "[0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349]\n",
      "[0.05042709426045261, 0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349]\n",
      "1 day input [0.0525251  0.05349918 0.0509516  0.05404865 0.06186623 0.05976822\n",
      " 0.06104201 0.06513812 0.06181627 0.06641191 0.07060792 0.06990859\n",
      " 0.06918427 0.06843499 0.07260602 0.07647735 0.07805085 0.07882512\n",
      " 0.08554373 0.09068885 0.0970578  0.09373595 0.09840651 0.09688296\n",
      " 0.09973026 0.10849693 0.10682352 0.10160348 0.09176283 0.10100405\n",
      " 0.09913083 0.1026275  0.10702333 0.10809731 0.10255258 0.09808182\n",
      " 0.09973026 0.10027973 0.09943054 0.10402618 0.10300215 0.10327689\n",
      " 0.10097907 0.10085419 0.09963035 0.10027973 0.10784754 0.10837205\n",
      " 0.11341725 0.11109446 0.10152855 0.10237774 0.10609921 0.1098956\n",
      " 0.10967081 0.1065238  0.10447575 0.10712323 0.11841251 0.11519057\n",
      " 0.11688896 0.11973625 0.12135971 0.12732904 0.12338279 0.12078525\n",
      " 0.10804736 0.10949598 0.10592437 0.10819721 0.10759778 0.10077926\n",
      " 0.09298666 0.0942105  0.10025476 0.10270243 0.10292722 0.0990559\n",
      " 0.09041411 0.09271192 0.1018388  0.1018388  0.1015466  0.10215618\n",
      " 0.10301737 0.1039666  0.10490406 0.10578302 0.10659071 0.10733202\n",
      " 0.1080188  0.10866436 0.10928115 0.10987985 0.11046939 0.11105704\n",
      " 0.11164837 0.11224745 0.11285691 0.11347815]\n",
      "[[[0.0525251 ]\n",
      "  [0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
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      "  [0.09688296]\n",
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      "  [0.10849693]\n",
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      "  [0.10160348]\n",
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      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]\n",
      "  [0.11224745]\n",
      "  [0.11285691]\n",
      "  [0.11347815]]]\n",
      "18 day input [[0.11411131]]\n",
      "[0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269]\n",
      "[0.0525251011539038, 0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269]\n",
      "1 day input [0.05349918 0.0509516  0.05404865 0.06186623 0.05976822 0.06104201\n",
      " 0.06513812 0.06181627 0.06641191 0.07060792 0.06990859 0.06918427\n",
      " 0.06843499 0.07260602 0.07647735 0.07805085 0.07882512 0.08554373\n",
      " 0.09068885 0.0970578  0.09373595 0.09840651 0.09688296 0.09973026\n",
      " 0.10849693 0.10682352 0.10160348 0.09176283 0.10100405 0.09913083\n",
      " 0.1026275  0.10702333 0.10809731 0.10255258 0.09808182 0.09973026\n",
      " 0.10027973 0.09943054 0.10402618 0.10300215 0.10327689 0.10097907\n",
      " 0.10085419 0.09963035 0.10027973 0.10784754 0.10837205 0.11341725\n",
      " 0.11109446 0.10152855 0.10237774 0.10609921 0.1098956  0.10967081\n",
      " 0.1065238  0.10447575 0.10712323 0.11841251 0.11519057 0.11688896\n",
      " 0.11973625 0.12135971 0.12732904 0.12338279 0.12078525 0.10804736\n",
      " 0.10949598 0.10592437 0.10819721 0.10759778 0.10077926 0.09298666\n",
      " 0.0942105  0.10025476 0.10270243 0.10292722 0.0990559  0.09041411\n",
      " 0.09271192 0.1018388  0.1018388  0.1015466  0.10215618 0.10301737\n",
      " 0.1039666  0.10490406 0.10578302 0.10659071 0.10733202 0.1080188\n",
      " 0.10866436 0.10928115 0.10987985 0.11046939 0.11105704 0.11164837\n",
      " 0.11224745 0.11285691 0.11347815 0.11411131]\n",
      "[[[0.05349918]\n",
      "  [0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]\n",
      "  [0.11224745]\n",
      "  [0.11285691]\n",
      "  [0.11347815]\n",
      "  [0.11411131]]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "19 day input [[0.11475574]]\n",
      "[0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302]\n",
      "[0.05349917578300617, 0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302]\n",
      "1 day input [0.0509516  0.05404865 0.06186623 0.05976822 0.06104201 0.06513812\n",
      " 0.06181627 0.06641191 0.07060792 0.06990859 0.06918427 0.06843499\n",
      " 0.07260602 0.07647735 0.07805085 0.07882512 0.08554373 0.09068885\n",
      " 0.0970578  0.09373595 0.09840651 0.09688296 0.09973026 0.10849693\n",
      " 0.10682352 0.10160348 0.09176283 0.10100405 0.09913083 0.1026275\n",
      " 0.10702333 0.10809731 0.10255258 0.09808182 0.09973026 0.10027973\n",
      " 0.09943054 0.10402618 0.10300215 0.10327689 0.10097907 0.10085419\n",
      " 0.09963035 0.10027973 0.10784754 0.10837205 0.11341725 0.11109446\n",
      " 0.10152855 0.10237774 0.10609921 0.1098956  0.10967081 0.1065238\n",
      " 0.10447575 0.10712323 0.11841251 0.11519057 0.11688896 0.11973625\n",
      " 0.12135971 0.12732904 0.12338279 0.12078525 0.10804736 0.10949598\n",
      " 0.10592437 0.10819721 0.10759778 0.10077926 0.09298666 0.0942105\n",
      " 0.10025476 0.10270243 0.10292722 0.0990559  0.09041411 0.09271192\n",
      " 0.1018388  0.1018388  0.1015466  0.10215618 0.10301737 0.1039666\n",
      " 0.10490406 0.10578302 0.10659071 0.10733202 0.1080188  0.10866436\n",
      " 0.10928115 0.10987985 0.11046939 0.11105704 0.11164837 0.11224745\n",
      " 0.11285691 0.11347815 0.11411131 0.11475574]\n",
      "[[[0.0509516 ]\n",
      "  [0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]\n",
      "  [0.11224745]\n",
      "  [0.11285691]\n",
      "  [0.11347815]\n",
      "  [0.11411131]\n",
      "  [0.11475574]]]\n",
      "20 day input [[0.11541004]]\n",
      "[0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427]\n",
      "[0.05095159598381538, 0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427]\n",
      "1 day input [0.05404865 0.06186623 0.05976822 0.06104201 0.06513812 0.06181627\n",
      " 0.06641191 0.07060792 0.06990859 0.06918427 0.06843499 0.07260602\n",
      " 0.07647735 0.07805085 0.07882512 0.08554373 0.09068885 0.0970578\n",
      " 0.09373595 0.09840651 0.09688296 0.09973026 0.10849693 0.10682352\n",
      " 0.10160348 0.09176283 0.10100405 0.09913083 0.1026275  0.10702333\n",
      " 0.10809731 0.10255258 0.09808182 0.09973026 0.10027973 0.09943054\n",
      " 0.10402618 0.10300215 0.10327689 0.10097907 0.10085419 0.09963035\n",
      " 0.10027973 0.10784754 0.10837205 0.11341725 0.11109446 0.10152855\n",
      " 0.10237774 0.10609921 0.1098956  0.10967081 0.1065238  0.10447575\n",
      " 0.10712323 0.11841251 0.11519057 0.11688896 0.11973625 0.12135971\n",
      " 0.12732904 0.12338279 0.12078525 0.10804736 0.10949598 0.10592437\n",
      " 0.10819721 0.10759778 0.10077926 0.09298666 0.0942105  0.10025476\n",
      " 0.10270243 0.10292722 0.0990559  0.09041411 0.09271192 0.1018388\n",
      " 0.1018388  0.1015466  0.10215618 0.10301737 0.1039666  0.10490406\n",
      " 0.10578302 0.10659071 0.10733202 0.1080188  0.10866436 0.10928115\n",
      " 0.10987985 0.11046939 0.11105704 0.11164837 0.11224745 0.11285691\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 0.11347815 0.11411131 0.11475574 0.11541004]\n",
      "[[[0.05404865]\n",
      "  [0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]\n",
      "  [0.11224745]\n",
      "  [0.11285691]\n",
      "  [0.11347815]\n",
      "  [0.11411131]\n",
      "  [0.11475574]\n",
      "  [0.11541004]]]\n",
      "21 day input [[0.11607232]]\n",
      "[0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423]\n",
      "[0.05404865377891005, 0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423]\n",
      "1 day input [0.06186623 0.05976822 0.06104201 0.06513812 0.06181627 0.06641191\n",
      " 0.07060792 0.06990859 0.06918427 0.06843499 0.07260602 0.07647735\n",
      " 0.07805085 0.07882512 0.08554373 0.09068885 0.0970578  0.09373595\n",
      " 0.09840651 0.09688296 0.09973026 0.10849693 0.10682352 0.10160348\n",
      " 0.09176283 0.10100405 0.09913083 0.1026275  0.10702333 0.10809731\n",
      " 0.10255258 0.09808182 0.09973026 0.10027973 0.09943054 0.10402618\n",
      " 0.10300215 0.10327689 0.10097907 0.10085419 0.09963035 0.10027973\n",
      " 0.10784754 0.10837205 0.11341725 0.11109446 0.10152855 0.10237774\n",
      " 0.10609921 0.1098956  0.10967081 0.1065238  0.10447575 0.10712323\n",
      " 0.11841251 0.11519057 0.11688896 0.11973625 0.12135971 0.12732904\n",
      " 0.12338279 0.12078525 0.10804736 0.10949598 0.10592437 0.10819721\n",
      " 0.10759778 0.10077926 0.09298666 0.0942105  0.10025476 0.10270243\n",
      " 0.10292722 0.0990559  0.09041411 0.09271192 0.1018388  0.1018388\n",
      " 0.1015466  0.10215618 0.10301737 0.1039666  0.10490406 0.10578302\n",
      " 0.10659071 0.10733202 0.1080188  0.10866436 0.10928115 0.10987985\n",
      " 0.11046939 0.11105704 0.11164837 0.11224745 0.11285691 0.11347815\n",
      " 0.11411131 0.11475574 0.11541004 0.11607232]\n",
      "[[[0.06186623]\n",
      "  [0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]\n",
      "  [0.11224745]\n",
      "  [0.11285691]\n",
      "  [0.11347815]\n",
      "  [0.11411131]\n",
      "  [0.11475574]\n",
      "  [0.11541004]\n",
      "  [0.11607232]]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22 day input [[0.11674047]]\n",
      "[0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457]\n",
      "[0.06186622708426992, 0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457]\n",
      "1 day input [0.05976822 0.06104201 0.06513812 0.06181627 0.06641191 0.07060792\n",
      " 0.06990859 0.06918427 0.06843499 0.07260602 0.07647735 0.07805085\n",
      " 0.07882512 0.08554373 0.09068885 0.0970578  0.09373595 0.09840651\n",
      " 0.09688296 0.09973026 0.10849693 0.10682352 0.10160348 0.09176283\n",
      " 0.10100405 0.09913083 0.1026275  0.10702333 0.10809731 0.10255258\n",
      " 0.09808182 0.09973026 0.10027973 0.09943054 0.10402618 0.10300215\n",
      " 0.10327689 0.10097907 0.10085419 0.09963035 0.10027973 0.10784754\n",
      " 0.10837205 0.11341725 0.11109446 0.10152855 0.10237774 0.10609921\n",
      " 0.1098956  0.10967081 0.1065238  0.10447575 0.10712323 0.11841251\n",
      " 0.11519057 0.11688896 0.11973625 0.12135971 0.12732904 0.12338279\n",
      " 0.12078525 0.10804736 0.10949598 0.10592437 0.10819721 0.10759778\n",
      " 0.10077926 0.09298666 0.0942105  0.10025476 0.10270243 0.10292722\n",
      " 0.0990559  0.09041411 0.09271192 0.1018388  0.1018388  0.1015466\n",
      " 0.10215618 0.10301737 0.1039666  0.10490406 0.10578302 0.10659071\n",
      " 0.10733202 0.1080188  0.10866436 0.10928115 0.10987985 0.11046939\n",
      " 0.11105704 0.11164837 0.11224745 0.11285691 0.11347815 0.11411131\n",
      " 0.11475574 0.11541004 0.11607232 0.11674047]\n",
      "[[[0.05976822]\n",
      "  [0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
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      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
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      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]\n",
      "  [0.11224745]\n",
      "  [0.11285691]\n",
      "  [0.11347815]\n",
      "  [0.11411131]\n",
      "  [0.11475574]\n",
      "  [0.11541004]\n",
      "  [0.11607232]\n",
      "  [0.11674047]]]\n",
      "23 day input [[0.11741228]]\n",
      "[0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457, 0.11741228401660919]\n",
      "[0.05976822019081868, 0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457, 0.11741228401660919]\n",
      "1 day input [0.06104201 0.06513812 0.06181627 0.06641191 0.07060792 0.06990859\n",
      " 0.06918427 0.06843499 0.07260602 0.07647735 0.07805085 0.07882512\n",
      " 0.08554373 0.09068885 0.0970578  0.09373595 0.09840651 0.09688296\n",
      " 0.09973026 0.10849693 0.10682352 0.10160348 0.09176283 0.10100405\n",
      " 0.09913083 0.1026275  0.10702333 0.10809731 0.10255258 0.09808182\n",
      " 0.09973026 0.10027973 0.09943054 0.10402618 0.10300215 0.10327689\n",
      " 0.10097907 0.10085419 0.09963035 0.10027973 0.10784754 0.10837205\n",
      " 0.11341725 0.11109446 0.10152855 0.10237774 0.10609921 0.1098956\n",
      " 0.10967081 0.1065238  0.10447575 0.10712323 0.11841251 0.11519057\n",
      " 0.11688896 0.11973625 0.12135971 0.12732904 0.12338279 0.12078525\n",
      " 0.10804736 0.10949598 0.10592437 0.10819721 0.10759778 0.10077926\n",
      " 0.09298666 0.0942105  0.10025476 0.10270243 0.10292722 0.0990559\n",
      " 0.09041411 0.09271192 0.1018388  0.1018388  0.1015466  0.10215618\n",
      " 0.10301737 0.1039666  0.10490406 0.10578302 0.10659071 0.10733202\n",
      " 0.1080188  0.10866436 0.10928115 0.10987985 0.11046939 0.11105704\n",
      " 0.11164837 0.11224745 0.11285691 0.11347815 0.11411131 0.11475574\n",
      " 0.11541004 0.11607232 0.11674047 0.11741228]\n",
      "[[[0.06104201]\n",
      "  [0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]\n",
      "  [0.11224745]\n",
      "  [0.11285691]\n",
      "  [0.11347815]\n",
      "  [0.11411131]\n",
      "  [0.11475574]\n",
      "  [0.11541004]\n",
      "  [0.11607232]\n",
      "  [0.11674047]\n",
      "  [0.11741228]]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "24 day input [[0.1180856]]\n",
      "[0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457, 0.11741228401660919, 0.1180856004357338]\n",
      "[0.061042010090414156, 0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457, 0.11741228401660919, 0.1180856004357338]\n",
      "1 day input [0.06513812 0.06181627 0.06641191 0.07060792 0.06990859 0.06918427\n",
      " 0.06843499 0.07260602 0.07647735 0.07805085 0.07882512 0.08554373\n",
      " 0.09068885 0.0970578  0.09373595 0.09840651 0.09688296 0.09973026\n",
      " 0.10849693 0.10682352 0.10160348 0.09176283 0.10100405 0.09913083\n",
      " 0.1026275  0.10702333 0.10809731 0.10255258 0.09808182 0.09973026\n",
      " 0.10027973 0.09943054 0.10402618 0.10300215 0.10327689 0.10097907\n",
      " 0.10085419 0.09963035 0.10027973 0.10784754 0.10837205 0.11341725\n",
      " 0.11109446 0.10152855 0.10237774 0.10609921 0.1098956  0.10967081\n",
      " 0.1065238  0.10447575 0.10712323 0.11841251 0.11519057 0.11688896\n",
      " 0.11973625 0.12135971 0.12732904 0.12338279 0.12078525 0.10804736\n",
      " 0.10949598 0.10592437 0.10819721 0.10759778 0.10077926 0.09298666\n",
      " 0.0942105  0.10025476 0.10270243 0.10292722 0.0990559  0.09041411\n",
      " 0.09271192 0.1018388  0.1018388  0.1015466  0.10215618 0.10301737\n",
      " 0.1039666  0.10490406 0.10578302 0.10659071 0.10733202 0.1080188\n",
      " 0.10866436 0.10928115 0.10987985 0.11046939 0.11105704 0.11164837\n",
      " 0.11224745 0.11285691 0.11347815 0.11411131 0.11475574 0.11541004\n",
      " 0.11607232 0.11674047 0.11741228 0.1180856 ]\n",
      "[[[0.06513812]\n",
      "  [0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
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      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
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      "  [0.10160348]\n",
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      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
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      "  [0.09943054]\n",
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      "  [0.10327689]\n",
      "  [0.10097907]\n",
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      "  [0.10837205]\n",
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      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
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      "  [0.1098956 ]\n",
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      "  [0.11841251]\n",
      "  [0.11519057]\n",
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      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]\n",
      "  [0.11224745]\n",
      "  [0.11285691]\n",
      "  [0.11347815]\n",
      "  [0.11411131]\n",
      "  [0.11475574]\n",
      "  [0.11541004]\n",
      "  [0.11607232]\n",
      "  [0.11674047]\n",
      "  [0.11741228]\n",
      "  [0.1180856 ]]]\n",
      "25 day input [[0.11875843]]\n",
      "[0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457, 0.11741228401660919, 0.1180856004357338, 0.118758425116539]\n",
      "[0.0651381187871522, 0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457, 0.11741228401660919, 0.1180856004357338, 0.118758425116539]\n",
      "1 day input [0.06181627 0.06641191 0.07060792 0.06990859 0.06918427 0.06843499\n",
      " 0.07260602 0.07647735 0.07805085 0.07882512 0.08554373 0.09068885\n",
      " 0.0970578  0.09373595 0.09840651 0.09688296 0.09973026 0.10849693\n",
      " 0.10682352 0.10160348 0.09176283 0.10100405 0.09913083 0.1026275\n",
      " 0.10702333 0.10809731 0.10255258 0.09808182 0.09973026 0.10027973\n",
      " 0.09943054 0.10402618 0.10300215 0.10327689 0.10097907 0.10085419\n",
      " 0.09963035 0.10027973 0.10784754 0.10837205 0.11341725 0.11109446\n",
      " 0.10152855 0.10237774 0.10609921 0.1098956  0.10967081 0.1065238\n",
      " 0.10447575 0.10712323 0.11841251 0.11519057 0.11688896 0.11973625\n",
      " 0.12135971 0.12732904 0.12338279 0.12078525 0.10804736 0.10949598\n",
      " 0.10592437 0.10819721 0.10759778 0.10077926 0.09298666 0.0942105\n",
      " 0.10025476 0.10270243 0.10292722 0.0990559  0.09041411 0.09271192\n",
      " 0.1018388  0.1018388  0.1015466  0.10215618 0.10301737 0.1039666\n",
      " 0.10490406 0.10578302 0.10659071 0.10733202 0.1080188  0.10866436\n",
      " 0.10928115 0.10987985 0.11046939 0.11105704 0.11164837 0.11224745\n",
      " 0.11285691 0.11347815 0.11411131 0.11475574 0.11541004 0.11607232\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 0.11674047 0.11741228 0.1180856  0.11875843]\n",
      "[[[0.06181627]\n",
      "  [0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]\n",
      "  [0.11224745]\n",
      "  [0.11285691]\n",
      "  [0.11347815]\n",
      "  [0.11411131]\n",
      "  [0.11475574]\n",
      "  [0.11541004]\n",
      "  [0.11607232]\n",
      "  [0.11674047]\n",
      "  [0.11741228]\n",
      "  [0.1180856 ]\n",
      "  [0.11875843]]]\n",
      "26 day input [[0.11942907]]\n",
      "[0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457, 0.11741228401660919, 0.1180856004357338, 0.118758425116539, 0.11942906677722931]\n",
      "[0.06181627453918781, 0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457, 0.11741228401660919, 0.1180856004357338, 0.118758425116539, 0.11942906677722931]\n",
      "1 day input [0.06641191 0.07060792 0.06990859 0.06918427 0.06843499 0.07260602\n",
      " 0.07647735 0.07805085 0.07882512 0.08554373 0.09068885 0.0970578\n",
      " 0.09373595 0.09840651 0.09688296 0.09973026 0.10849693 0.10682352\n",
      " 0.10160348 0.09176283 0.10100405 0.09913083 0.1026275  0.10702333\n",
      " 0.10809731 0.10255258 0.09808182 0.09973026 0.10027973 0.09943054\n",
      " 0.10402618 0.10300215 0.10327689 0.10097907 0.10085419 0.09963035\n",
      " 0.10027973 0.10784754 0.10837205 0.11341725 0.11109446 0.10152855\n",
      " 0.10237774 0.10609921 0.1098956  0.10967081 0.1065238  0.10447575\n",
      " 0.10712323 0.11841251 0.11519057 0.11688896 0.11973625 0.12135971\n",
      " 0.12732904 0.12338279 0.12078525 0.10804736 0.10949598 0.10592437\n",
      " 0.10819721 0.10759778 0.10077926 0.09298666 0.0942105  0.10025476\n",
      " 0.10270243 0.10292722 0.0990559  0.09041411 0.09271192 0.1018388\n",
      " 0.1018388  0.1015466  0.10215618 0.10301737 0.1039666  0.10490406\n",
      " 0.10578302 0.10659071 0.10733202 0.1080188  0.10866436 0.10928115\n",
      " 0.10987985 0.11046939 0.11105704 0.11164837 0.11224745 0.11285691\n",
      " 0.11347815 0.11411131 0.11475574 0.11541004 0.11607232 0.11674047\n",
      " 0.11741228 0.1180856  0.11875843 0.11942907]\n",
      "[[[0.06641191]\n",
      "  [0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
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      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
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      "  [0.10837205]\n",
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      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]\n",
      "  [0.11224745]\n",
      "  [0.11285691]\n",
      "  [0.11347815]\n",
      "  [0.11411131]\n",
      "  [0.11475574]\n",
      "  [0.11541004]\n",
      "  [0.11607232]\n",
      "  [0.11674047]\n",
      "  [0.11741228]\n",
      "  [0.1180856 ]\n",
      "  [0.11875843]\n",
      "  [0.11942907]]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27 day input [[0.12009604]]\n",
      "[0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457, 0.11741228401660919, 0.1180856004357338, 0.118758425116539, 0.11942906677722931, 0.12009603530168533]\n",
      "[0.06641190868674762, 0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457, 0.11741228401660919, 0.1180856004357338, 0.118758425116539, 0.11942906677722931, 0.12009603530168533]\n",
      "1 day input [0.07060792 0.06990859 0.06918427 0.06843499 0.07260602 0.07647735\n",
      " 0.07805085 0.07882512 0.08554373 0.09068885 0.0970578  0.09373595\n",
      " 0.09840651 0.09688296 0.09973026 0.10849693 0.10682352 0.10160348\n",
      " 0.09176283 0.10100405 0.09913083 0.1026275  0.10702333 0.10809731\n",
      " 0.10255258 0.09808182 0.09973026 0.10027973 0.09943054 0.10402618\n",
      " 0.10300215 0.10327689 0.10097907 0.10085419 0.09963035 0.10027973\n",
      " 0.10784754 0.10837205 0.11341725 0.11109446 0.10152855 0.10237774\n",
      " 0.10609921 0.1098956  0.10967081 0.1065238  0.10447575 0.10712323\n",
      " 0.11841251 0.11519057 0.11688896 0.11973625 0.12135971 0.12732904\n",
      " 0.12338279 0.12078525 0.10804736 0.10949598 0.10592437 0.10819721\n",
      " 0.10759778 0.10077926 0.09298666 0.0942105  0.10025476 0.10270243\n",
      " 0.10292722 0.0990559  0.09041411 0.09271192 0.1018388  0.1018388\n",
      " 0.1015466  0.10215618 0.10301737 0.1039666  0.10490406 0.10578302\n",
      " 0.10659071 0.10733202 0.1080188  0.10866436 0.10928115 0.10987985\n",
      " 0.11046939 0.11105704 0.11164837 0.11224745 0.11285691 0.11347815\n",
      " 0.11411131 0.11475574 0.11541004 0.11607232 0.11674047 0.11741228\n",
      " 0.1180856  0.11875843 0.11942907 0.12009604]\n",
      "[[[0.07060792]\n",
      "  [0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]\n",
      "  [0.11224745]\n",
      "  [0.11285691]\n",
      "  [0.11347815]\n",
      "  [0.11411131]\n",
      "  [0.11475574]\n",
      "  [0.11541004]\n",
      "  [0.11607232]\n",
      "  [0.11674047]\n",
      "  [0.11741228]\n",
      "  [0.1180856 ]\n",
      "  [0.11875843]\n",
      "  [0.11942907]\n",
      "  [0.12009604]]]\n",
      "28 day input [[0.12075819]]\n",
      "[0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457, 0.11741228401660919, 0.1180856004357338, 0.118758425116539, 0.11942906677722931, 0.12009603530168533, 0.12075819075107574]\n",
      "[0.07060792247365, 0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457, 0.11741228401660919, 0.1180856004357338, 0.118758425116539, 0.11942906677722931, 0.12009603530168533, 0.12075819075107574]\n",
      "1 day input [0.06990859 0.06918427 0.06843499 0.07260602 0.07647735 0.07805085\n",
      " 0.07882512 0.08554373 0.09068885 0.0970578  0.09373595 0.09840651\n",
      " 0.09688296 0.09973026 0.10849693 0.10682352 0.10160348 0.09176283\n",
      " 0.10100405 0.09913083 0.1026275  0.10702333 0.10809731 0.10255258\n",
      " 0.09808182 0.09973026 0.10027973 0.09943054 0.10402618 0.10300215\n",
      " 0.10327689 0.10097907 0.10085419 0.09963035 0.10027973 0.10784754\n",
      " 0.10837205 0.11341725 0.11109446 0.10152855 0.10237774 0.10609921\n",
      " 0.1098956  0.10967081 0.1065238  0.10447575 0.10712323 0.11841251\n",
      " 0.11519057 0.11688896 0.11973625 0.12135971 0.12732904 0.12338279\n",
      " 0.12078525 0.10804736 0.10949598 0.10592437 0.10819721 0.10759778\n",
      " 0.10077926 0.09298666 0.0942105  0.10025476 0.10270243 0.10292722\n",
      " 0.0990559  0.09041411 0.09271192 0.1018388  0.1018388  0.1015466\n",
      " 0.10215618 0.10301737 0.1039666  0.10490406 0.10578302 0.10659071\n",
      " 0.10733202 0.1080188  0.10866436 0.10928115 0.10987985 0.11046939\n",
      " 0.11105704 0.11164837 0.11224745 0.11285691 0.11347815 0.11411131\n",
      " 0.11475574 0.11541004 0.11607232 0.11674047 0.11741228 0.1180856\n",
      " 0.11875843 0.11942907 0.12009604 0.12075819]\n",
      "[[[0.06990859]\n",
      "  [0.06918427]\n",
      "  [0.06843499]\n",
      "  [0.07260602]\n",
      "  [0.07647735]\n",
      "  [0.07805085]\n",
      "  [0.07882512]\n",
      "  [0.08554373]\n",
      "  [0.09068885]\n",
      "  [0.0970578 ]\n",
      "  [0.09373595]\n",
      "  [0.09840651]\n",
      "  [0.09688296]\n",
      "  [0.09973026]\n",
      "  [0.10849693]\n",
      "  [0.10682352]\n",
      "  [0.10160348]\n",
      "  [0.09176283]\n",
      "  [0.10100405]\n",
      "  [0.09913083]\n",
      "  [0.1026275 ]\n",
      "  [0.10702333]\n",
      "  [0.10809731]\n",
      "  [0.10255258]\n",
      "  [0.09808182]\n",
      "  [0.09973026]\n",
      "  [0.10027973]\n",
      "  [0.09943054]\n",
      "  [0.10402618]\n",
      "  [0.10300215]\n",
      "  [0.10327689]\n",
      "  [0.10097907]\n",
      "  [0.10085419]\n",
      "  [0.09963035]\n",
      "  [0.10027973]\n",
      "  [0.10784754]\n",
      "  [0.10837205]\n",
      "  [0.11341725]\n",
      "  [0.11109446]\n",
      "  [0.10152855]\n",
      "  [0.10237774]\n",
      "  [0.10609921]\n",
      "  [0.1098956 ]\n",
      "  [0.10967081]\n",
      "  [0.1065238 ]\n",
      "  [0.10447575]\n",
      "  [0.10712323]\n",
      "  [0.11841251]\n",
      "  [0.11519057]\n",
      "  [0.11688896]\n",
      "  [0.11973625]\n",
      "  [0.12135971]\n",
      "  [0.12732904]\n",
      "  [0.12338279]\n",
      "  [0.12078525]\n",
      "  [0.10804736]\n",
      "  [0.10949598]\n",
      "  [0.10592437]\n",
      "  [0.10819721]\n",
      "  [0.10759778]\n",
      "  [0.10077926]\n",
      "  [0.09298666]\n",
      "  [0.0942105 ]\n",
      "  [0.10025476]\n",
      "  [0.10270243]\n",
      "  [0.10292722]\n",
      "  [0.0990559 ]\n",
      "  [0.09041411]\n",
      "  [0.09271192]\n",
      "  [0.1018388 ]\n",
      "  [0.1018388 ]\n",
      "  [0.1015466 ]\n",
      "  [0.10215618]\n",
      "  [0.10301737]\n",
      "  [0.1039666 ]\n",
      "  [0.10490406]\n",
      "  [0.10578302]\n",
      "  [0.10659071]\n",
      "  [0.10733202]\n",
      "  [0.1080188 ]\n",
      "  [0.10866436]\n",
      "  [0.10928115]\n",
      "  [0.10987985]\n",
      "  [0.11046939]\n",
      "  [0.11105704]\n",
      "  [0.11164837]\n",
      "  [0.11224745]\n",
      "  [0.11285691]\n",
      "  [0.11347815]\n",
      "  [0.11411131]\n",
      "  [0.11475574]\n",
      "  [0.11541004]\n",
      "  [0.11607232]\n",
      "  [0.11674047]\n",
      "  [0.11741228]\n",
      "  [0.1180856 ]\n",
      "  [0.11875843]\n",
      "  [0.11942907]\n",
      "  [0.12009604]\n",
      "  [0.12075819]]]\n",
      "29 day input [[0.12141468]]\n",
      "[0.06990858684249962, 0.06918427493880813, 0.06843498676257559, 0.07260602427693691, 0.07647734652080529, 0.07805085169089365, 0.07882511613966736, 0.08554373345321947, 0.09068884559668317, 0.09705779509466006, 0.09373595084669567, 0.09840651381187876, 0.09688296118687245, 0.09973025625655624, 0.10849692791847748, 0.10682351765822468, 0.1016034766971377, 0.09176282531594981, 0.10100404615615166, 0.09913082571557025, 0.1026275038713223, 0.1070233278385534, 0.1080973075578201, 0.10255257505369902, 0.0980818222688446, 0.09973025625655624, 0.10027973425246023, 0.0994305409860633, 0.10402617513362311, 0.10300214795943852, 0.10327688695739051, 0.10097906988361055, 0.10085418852090516, 0.0996303511663919, 0.10027973425246023, 0.10784754483240916, 0.10837204655577198, 0.1134172536090714, 0.11109446026275038, 0.10152854787951449, 0.10237774114591136, 0.10609920575453319, 0.10989559918077829, 0.10967081272790852, 0.10652380238773168, 0.1044757480393626, 0.10712323292871773, 0.1184125081172886, 0.11519056895948854, 0.11688895549228234, 0.11973625056196613, 0.12135970827713677, 0.12732903741445628, 0.12338278635296474, 0.12078525400869172, 0.10804735501273788, 0.10949597882012091, 0.10592437184674564, 0.10819721264798443, 0.10759778210699833, 0.10077925970328189, 0.09298666267046307, 0.09421050002497627, 0.10025475797991906, 0.10270243268894552, 0.10292721914181524, 0.09905589689794697, 0.09041410659873123, 0.09271192367251113, 0.10183880478143692, 0.10183880478143692, 0.10154660046100616, 0.10215617716312408, 0.10301737487316132, 0.1039666011929512, 0.10490406304597855, 0.10578302294015884, 0.10659071058034897, 0.1073320209980011, 0.10801880061626434, 0.1086643636226654, 0.10928115248680115, 0.10987985134124756, 0.11046939343214035, 0.11105703562498093, 0.11164836585521698, 0.11224745213985443, 0.1128569096326828, 0.1134781464934349, 0.11411131173372269, 0.11475574225187302, 0.11541004478931427, 0.11607231944799423, 0.11674046516418457, 0.11741228401660919, 0.1180856004357338, 0.118758425116539, 0.11942906677722931, 0.12009603530168533, 0.12075819075107574, 0.1214146837592125]\n"
     ]
    }
   ],
   "source": [
    "#demonstarte predicion for next 10 days\n",
    "from numpy import array\n",
    "\n",
    "lst_op = []\n",
    "n_steps = 100\n",
    "i = 0\n",
    "while(i<30):\n",
    "    if(len(temp_input)>100):\n",
    "        print(temp_input)\n",
    "        X_input = np.array(temp_input[1:])\n",
    "        print(\"{} day input {}\".format(1, X_input))\n",
    "        X_input = X_input.reshape(1,-1)\n",
    "        X_input = X_input.reshape((1, n_steps, 1))\n",
    "        print(X_input)\n",
    "        yhat = model.predict(X_input, verbose=0)\n",
    "        print(\"{} day input {}\".format(i, yhat))\n",
    "        temp_input.extend(yhat[0].tolist())\n",
    "        temp_input = temp_input[1:]\n",
    "        print(temp_input)\n",
    "        lst_op.extend(yhat.tolist())\n",
    "        i = i+1\n",
    "    else:\n",
    "        X_input = X_input.reshape((1, n_steps, 1))\n",
    "        yhat = model.predict(X_input, verbose=0)\n",
    "        print(yhat[0])\n",
    "        temp_input.extend(yhat[0].tolist())\n",
    "        print(len(temp_input))\n",
    "        lst_op.extend(yhat.tolist())\n",
    "        i = i+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "day_new = np.arange(1,101)\n",
    "day_pred = np.arange(101,131)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1257"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x20bb1b76640>]"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(day_new, scaler.inverse_transform(df1[1157:]))\n",
    "plt.plot(day_pred, scaler.inverse_transform(lst_op))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x20bb1eb6e80>]"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df3 = df1.tolist()\n",
    "df3.extend(lst_op)\n",
    "plt.plot(df3[1200:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3 = scaler.inverse_transform(df3).tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x20bb1f17a60>]"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Done with this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "name": "STOCK_MARKTET_LSTM.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}